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@@ -12,26 +12,31 @@ Each MCP server is implemented with either the [Typescript MCP SDK](https://gith
These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.
- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API
- **[EverArt](src/everart)** - AI image generation using various models
- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
- **[Filesystem](src/filesystem)** - Secure file operations with configurable access controls
- **[Memory](src/memory)** - Knowledge graph-based persistent memory system
- **[Sequential Thinking](src/sequentialthinking)** - Dynamic and reflective problem-solving through thought sequences
- **[Time](src/time)** - Time and timezone conversion capabilities
### Archived
The following reference servers are now archived and can be found at [servers-archived](https://github.com/modelcontextprotocol/servers-archived).
- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API
- **[EverArt](src/everart)** - AI image generation using various models
- **[Git](src/git)** - Tools to read, search, and manipulate Git repositories
- **[GitHub](src/github)** - Repository management, file operations, and GitHub API integration
- **[GitLab](src/gitlab)** - GitLab API, enabling project management
- **[Google Drive](src/gdrive)** - File access and search capabilities for Google Drive
- **[Google Maps](src/google-maps)** - Location services, directions, and place details
- **[Memory](src/memory)** - Knowledge graph-based persistent memory system
- **[PostgreSQL](src/postgres)** - Read-only database access with schema inspection
- **[Puppeteer](src/puppeteer)** - Browser automation and web scraping
- **[Redis](src/redis)** - Interact with Redis key-value stores
- **[Sentry](src/sentry)** - Retrieving and analyzing issues from Sentry.io
- **[Sequential Thinking](src/sequentialthinking)** - Dynamic and reflective problem-solving through thought sequences
- **[Slack](src/slack)** - Channel management and messaging capabilities
- **[Sqlite](src/sqlite)** - Database interaction and business intelligence capabilities
- **[Time](src/time)** - Time and timezone conversion capabilities
## 🤝 Third-Party Servers
@@ -66,6 +71,7 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://portswigger.net/favicon.ico" alt="PortSwigger Logo" /> **[Burp Suite](https://github.com/PortSwigger/mcp-server)** - MCP Server extension allowing AI clients to connect to [Burp Suite](https://portswigger.net)
- <img height="12" width="12" src="https://play.cartesia.ai/icon.png" alt="Cartesia logo" /> **[Cartesia](https://github.com/cartesia-ai/cartesia-mcp)** - Connect to the [Cartesia](https://cartesia.ai/) voice platform to perform text-to-speech, voice cloning etc.
- <img height="12" width="12" src="https://www.chargebee.com/static/resources/brand/favicon.png" /> **[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
- <img height="12" width="12" src="https://cdn.chiki.studio/brand/logo.png" /> **[Chiki StudIO](https://chiki.studio/galimybes/mcp/)** - Create your own configurable MCP servers purely via configuration (no code), with instructions, prompts, and tools support.
- <img height="12" width="12" src="https://trychroma.com/_next/static/media/chroma-logo.ae2d6e4b.svg" /> **[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database
- <img height="12" width="12" src="https://www.chronulus.com/favicon/chronulus-logo-blue-on-alpha-square-128x128.ico" alt="Chronulus AI Logo" /> **[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents.
- <img height="12" width="12" src="https://circleci.com/favicon.ico" alt="CircleCI Logo" /> **[CircleCI](https://github.com/CircleCI-Public/mcp-server-circleci)** - Enable AI Agents to fix build failures from CircleCI.
@@ -77,6 +83,7 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://www.confluent.io/favicon.ico" /> **[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
- <img height="12" width="12" src="https://www.convex.dev/favicon.ico" /> **[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
- <img height="12" width="12" src="https://www.couchbase.com/wp-content/uploads/2023/10/couchbase-favicon.svg" /> **[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters.
- <img height="12" width="12" src="https://github.com/user-attachments/assets/b256f9fa-2020-4b37-9644-c77229ef182b" alt="CRIC 克而瑞 LOGO"> **[CRIC Wuye AI](https://github.com/wuye-ai/mcp-server-wuye-ai)** - Interact with capabilities of the CRIC Wuye AI platform, an intelligent assistant specifically for the property management industry.
- <img height="12" width="12" src="http://app.itsdart.com/static/img/favicon.png" alt="Dart Logo" /> **[Dart](https://github.com/its-dart/dart-mcp-server)** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool
- <img height="12" width="12" src="https://datahub.com/wp-content/uploads/2025/04/cropped-Artboard-1-32x32.png" alt="DataHub Logo" /> **[DataHub](https://github.com/acryldata/mcp-server-datahub)** - Search your data assets, traverse data lineage, write SQL queries, and more using [DataHub](https://datahub.com/) metadata.
- <img height="12" width="12" src="https://dexpaprika.com/favicon.ico" alt="DexPaprika Logo" /> **[DexPaprika (CoinPaprika)](https://github.com/coinpaprika/dexpaprika-mcp)** - Access real-time DEX data, liquidity pools, token information, and trading analytics across multiple blockchain networks with [DexPaprika](https://dexpaprika.com) by CoinPaprika.
@@ -155,6 +162,7 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/54333248" /> **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base.
- <img height="12" width="12" src="https://www.prisma.io/images/favicon-32x32.png" alt="Prisma Logo" /> **[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases
- <img height="12" width="12" src="https://www.pulumi.com/images/favicon.ico" alt="Pulumi Logo" /> **[Pulumi](https://github.com/pulumi/mcp-server)** - Deploy and manage cloud infrastructure using [Pulumi](https://pulumi.com).
- <img height="12" width="12" src="https://pure.md/favicon.png" alt="Pure.md Logo" /> **[Pure.md](https://github.com/puremd/puremd-mcp)** - Reliably access web content in markdown format with [pure.md](https://pure.md) (bot detection avoidance, proxy rotation, and headless JS rendering built in).
- <img height="12" width="12" src="https://put.io/images/favicon.ico" alt="Put.io Logo" /> **[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/165178062" /> **[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/1529926" /> **[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis.
@@ -173,8 +181,10 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://www.starrocks.io/favicon.ico" alt="StarRocks Logo" /> **[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/)
- <img height="12" width="12" src="https://stripe.com/favicon.ico" alt="Stripe Logo" /> **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
- <img height="12" width="12" src="https://tavily.com/favicon.ico" alt="Tavily Logo" /> **[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
- <img height="12" width="12" src="https://raw.githubusercontent.com/hashicorp/terraform-mcp-server/main/public/images/Terraform-LogoMark_onDark.svg" alt="Terraform Logo" /> **[Terraform](https://github.com/hashicorp/terraform-mcp-server)** - Seamlessly integrate with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development powered by [Terraform](https://www.hashicorp.com/en/products/terraform)
- <img height="12" width="12" src="https://thirdweb.com/favicon.ico" alt="Thirdweb Logo" /> **[Thirdweb](https://github.com/thirdweb-dev/ai/tree/main/python/thirdweb-mcp)** - Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by [Thirdweb](https://thirdweb.com/)
- <img height="12" width="12" src="https://tianji.msgbyte.com/img/dark-brand.svg" alt="Tianji Logo" /> **[Tianji](https://github.com/msgbyte/tianji/tree/master/apps/mcp-server)** - Interact with Tianji platform whatever selfhosted or cloud platform, powered by [Tianji](https://tianji.msgbyte.com/).
- <img height="12" width="12" src="https://www.pingcap.com/favicon.ico" alt="TiDB Logo" /> **[TiDB](https://github.com/pingcap/pytidb)** - MCP Server to interact with TiDB database platform.
- <img height="12" width="12" src="https://www.tinybird.co/favicon.ico" alt="Tinybird Logo" /> **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
- <img height="12" width="12" src="https://b2729162.smushcdn.com/2729162/wp-content/uploads/2023/10/cropped-Favicon-1-192x192.png?lossy=1&strip=1&webp=1" alt="Tldv Logo" /> **[Tldv](https://gitlab.com/tldv/tldv-mcp-server)** - Connect your AI agents to Google-Meet, Zoom & Microsoft Teams through [tl;dv](https://tldv.io)
- <img height="12" width="12" src="https://unifai.network/favicon.ico" alt="UnifAI Logo" /> **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
@@ -186,6 +196,7 @@ Official integrations are maintained by companies building production ready MCP
- <img height="12" width="12" src="https://www.veyrax.com/favicon.ico" alt="VeyraX Logo" /> **[VeyraX](https://github.com/VeyraX/veyrax-mcp)** - Single tool to control all 100+ API integrations, and UI components
- <img height="12" width="12" src="https://waystation.ai/images/logo.svg" alt="WayStation Logo" /> **[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more
- <img height="12" width="12" src="https://www.xero.com/favicon.ico" alt="Xero Logo" /> **[Xero](https://github.com/XeroAPI/xero-mcp-server)** - Interact with the accounting data in your business using our official MCP server
- <img height="12" width="12" src="https://www.yugabyte.com/favicon-16x16.png" alt="YugabyteDB Logo" /> **[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database
- <img height="12" width="12" src="https://cdn.zapier.com/zapier/images/favicon.ico" alt="Zapier Logo" /> **[Zapier](https://zapier.com/mcp)** - Connect your AI Agents to 8,000 apps instantly.
- **[ZenML](https://github.com/zenml-io/mcp-zenml)** - Interact with your MLOps and LLMOps pipelines through your [ZenML](https://www.zenml.io) MCP server
@@ -194,6 +205,7 @@ Official integrations are maintained by companies building production ready MCP
A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.
> **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
- **[A2A](https://github.com/GongRzhe/A2A-MCP-Server)** - An MCP server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.
- **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live.
- **[Ableton Live](https://github.com/ahujasid/ableton-mcp)** (by ahujasid) - Ableton integration allowing prompt enabled music creation.
- **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details.
@@ -207,6 +219,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Anki](https://github.com/scorzeth/anki-mcp-server)** - An MCP server for interacting with your [Anki](https://apps.ankiweb.net) decks and cards.
- **[Any Chat Completions](https://github.com/pyroprompts/any-chat-completions-mcp)** - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.
- **[Apache Gravitino(incubating)](https://github.com/datastrato/mcp-server-gravitino)** - Allow LLMs to explore metadata of structured data and unstructured data with Gravitino, and perform data governance tasks including tagging/classification.
- **[APIWeaver](https://github.com/GongRzhe/APIWeaver)** - An MCP server that dynamically creates MCP servers from web API configurations. This allows you to easily integrate any REST API, GraphQL endpoint, or web service into an MCP-compatible tool that can be used by AI assistants like Claude.
- **[Apple Calendar](https://github.com/Omar-v2/mcp-ical)** - An MCP server that allows you to interact with your MacOS Calendar through natural language, including features such as event creation, modification, schedule listing, finding free time slots etc.
- **[Apple Script](https://github.com/peakmojo/applescript-mcp)** - MCP server that lets LLM run AppleScript code to to fully control anything on Mac, no setup needed.
- **[Aranet4](https://github.com/diegobit/aranet4-mcp-server)** - MCP Server to manage your Aranet4 CO2 sensor. Fetch data and store in a local SQLite. Ask questions about historical data.
@@ -328,6 +341,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Home Assistant](https://github.com/voska/hass-mcp)** - Docker-ready MCP server for Home Assistant with entity management, domain summaries, automation support, and guided conversations. Includes pre-built container images for easy installation.
- **[HubSpot](https://github.com/buryhuang/mcp-hubspot)** - HubSpot CRM integration for managing contacts and companies. Create and retrieve CRM data directly through Claude chat.
- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)** - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
- **[Human-In-the-Loop](https://github.com/GongRzhe/Human-In-the-Loop-MCP-Server)** - A powerful MCP Server that enables AI assistants like Claude to interact with humans through intuitive GUI dialogs. This server bridges the gap between automated AI processes and human decision-making by providing real-time user input tools, choices, confirmations, and feedback mechanisms.
- **[Hyperliquid](https://github.com/mektigboy/server-hyperliquid)** - An MCP server implementation that integrates the Hyperliquid SDK for exchange data.
- **[hyprmcp](https://github.com/stefanoamorelli/hyprmcp)** (by Stefano Amorelli) - Lightweight MCP server for `hyprland`.
- **[iFlytek Workflow](https://github.com/iflytek/ifly-workflow-mcp-server)** - Connect to iFlytek Workflow via the MCP server and run your own Agent.
@@ -372,8 +386,10 @@ A growing set of community-developed and maintained servers demonstrates various
- **[MariaDB](https://github.com/abel9851/mcp-server-mariadb)** - MariaDB database integration with configurable access controls in Python.
- **[Markdown2doc](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/pandoc)** - Convert between various file formats using Pandoc
- **[Markitdown](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/markitdown)** - Convert files to Markdown
- **[Matlab-MCP-Tools](https://github.com/neuromechanist/matlab-mcp-tools)** - An MCP to write and execute MATLAB scripts, maintain workspace context between MCP calls, visualize plots, and perform section-by-section analysis of MATLAB code with full access to MATLAB's computational capabilities.
- **[Maton](https://github.com/maton-ai/agent-toolkit/tree/main/modelcontextprotocol)** - Connect to your SaaS tools like HubSpot, Salesforce, and more.
- **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs
- **[mcp-containerd](https://github.com/jokemanfire/mcp-containerd)** - The containerd MCP implemented by Rust supports the operation of the CRI interface.
- **[MCP Create](https://github.com/tesla0225/mcp-create)** - A dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers on-the-fly.
- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)** - Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible.
@@ -381,6 +397,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[mcp-proxy](https://github.com/sparfenyuk/mcp-proxy)** - Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server.
- **[MCP Proxy Server](https://github.com/TBXark/mcp-proxy)** - An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server.
- **[mcp-salesforce](https://github.com/lciesielski/mcp-salesforce-example)** - MCP server with basic demonstration of interactions with your Salesforce instance
- **[MCP Server Creator](https://github.com/GongRzhe/MCP-Server-Creator)** - A powerful Model Context Protocol (MCP) server that creates other MCP servers! This meta-server provides tools for dynamically generating FastMCP server configurations and Python code.
- **[mem0-mcp](https://github.com/mem0ai/mem0-mcp)** - A Model Context Protocol server for Mem0, which helps with managing coding preferences.
- **[Membase](https://github.com/unibaseio/membase-mcp)** - Save and query your agent memory in distributed way by Membase.
- **[MetaTrader MCP](https://github.com/ariadng/metatrader-mcp-server)** - Enable AI LLMs to execute trades using MetaTrader 5 platform.
@@ -398,12 +415,14 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Mobile MCP](https://github.com/mobile-next/mobile-mcp)** (by Mobile Next) - MCP server for Mobile(iOS/Android) automation, app scraping and development using physical devices or simulators/emulators.
- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB.
- **[MongoDB Lens](https://github.com/furey/mongodb-lens)** - Full Featured MCP Server for MongoDB Databases.
- **[MongoDB & Mongoose](https://github.com/nabid-pf/mongo-mongoose-mcp)** - MongoDB MCP Server with Mongoose Schema and Validation.
- **[Monday.com](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items.
- **[Morningstar](https://github.com/Morningstar/morningstar-mcp-server)** - MCP Server to interact with Morningstar Research, Editorial and Datapoints
- **[Multicluster-MCP-Sever](https://github.com/yanmxa/multicluster-mcp-server)** - The gateway for GenAI systems to interact with multiple Kubernetes clusters.
- **[Multi-Model Advisor](https://github.com/YuChenSSR/multi-ai-advisor-mcp)** - A Model Context Protocol (MCP) server that orchestrates queries across multiple Ollama models, synthesizing their insights to deliver a comprehensive and multifaceted AI perspective on any given query.
- **[MySQL](https://github.com/benborla/mcp-server-mysql)** (by benborla) - MySQL database integration in NodeJS with configurable access controls and schema inspection
- **[MySQL](https://github.com/designcomputer/mysql_mcp_server)** (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection
- **[MasterGo](https://github.com/mastergo-design/mastergo-magic-mcp)** - The server designed to connect MasterGo design tools with AI models. It enables AI models to directly retrieve DSL data from MasterGo design files.
- **[n8n](https://github.com/leonardsellem/n8n-mcp-server)** - This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions, including listing, creating, updating, and deleting workflows, as well as monitoring their execution status.
- **[NASA](https://github.com/ProgramComputer/NASA-MCP-server)** (by ProgramComputer) - Access to a unified gateway of NASA's data sources including but not limited to APOD, NEO, EPIC, GIBS.
- **[Nasdaq Data Link](https://github.com/stefanoamorelli/nasdaq-data-link-mcp)** (by stefanoamorelli) - An MCP server to access, explore, and interact with Nasdaq Data Link's extensive and valuable financial and economic datasets.
@@ -411,7 +430,6 @@ A growing set of community-developed and maintained servers demonstrates various
- **[NAVER](https://github.com/pfldy2850/py-mcp-naver)** (by pfldy2850) - This MCP server provides tools to interact with various Naver services, such as searching blogs, news, books, and more.
- **[NBA](https://github.com/Taidgh-Robinson/nba-mcp-server)** - This MCP server provides tools to fetch recent and historical NBA games including basic and advanced statistics.
- **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
- **[Neo4j](https://github.com/da-okazaki/mcp-neo4j-server)** - A community built server that interacts with Neo4j Graph Database.
- **[Neovim](https://github.com/bigcodegen/mcp-neovim-server)** - An MCP Server for your Neovim session.
- **[nomad-mcp](https://github.com/kocierik/mcp-nomad)** - A server that provides a set of tools for managing Nomad clusters through the MCP.
@@ -423,7 +441,8 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through your Obsidian vault or any directory containing Markdown notes
- **[obsidian-mcp](https://github.com/StevenStavrakis/obsidian-mcp)** - (by Steven Stavrakis) An MCP server for Obsidian.md with tools for searching, reading, writing, and organizing notes.
- **[OceanBase](https://github.com/yuanoOo/oceanbase_mcp_server)** - (by yuanoOo) A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases.
- **[Office-PowerPoint-MCP-Server](https://github.com/GongRzhe/Office-PowerPoint-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft PowerPoint documents.
- **[Office-PowerPoint-MCP-Server](https://github.com/GongRzhe/Office-PowerPoint-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft PowerPoint documents.
- **[Office-Visio-MCP-Server](https://github.com/GongRzhe/Office-Visio-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Visio documents.
- **[Office-Word-MCP-Server](https://github.com/GongRzhe/Office-Word-MCP-Server)** - A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Word documents.
- **[Okta](https://github.com/kapilduraphe/okta-mcp-server)** - Interact with Okta API.
- **[OneNote](https://github.com/rajvirtual/MCP-Servers/tree/master/onenote)** - (by Rajesh Vijay) An MCP server that connects to Microsoft OneNote using the Microsoft Graph API. Reading notebooks, sections, and pages from OneNote,Creating new notebooks, sections, and pages in OneNote.
@@ -465,6 +484,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects.
- **[Redis](https://github.com/GongRzhe/REDIS-MCP-Server)** - Redis database operations and caching microservice server with support for key-value operations, expiration management, and pattern-based key listing.
- **[Redis](https://github.com/prajwalnayak7/mcp-server-redis)** MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
- **[Reed Jobs](https://github.com/kld3v/reed_jobs_mcp)** - Search and retrieve job listings from Reed.co.uk.
- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
- **[Replicate](https://github.com/deepfates/mcp-replicate)** - Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.
- **[Resend](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/resend)** - Send email using Resend services
@@ -488,6 +508,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[SoccerDataAPI](https://github.com/yeonupark/mcp-soccer-data)** - This MCP server provides real-time football match data based on the SoccerDataAPI.
- **[Solana Agent Kit](https://github.com/sendaifun/solana-agent-kit/tree/main/examples/agent-kit-mcp-server)** - This MCP server enables LLMs to interact with the Solana blockchain with help of Solana Agent Kit by SendAI, allowing for 40+ protcool actions and growing
- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify.
- **[Standard Korean Dictionary](https://github.com/privetin/stdict)** - Search the dictionary using API
- **[Starwind UI](https://github.com/Boston343/starwind-ui-mcp/)** - This MCP provides relevant commands, documentation, and other information to allow LLMs to take full advantage of Starwind UI's open source Astro components.
- **[Strava](https://github.com/r-huijts/strava-mcp)** - Connect to the Strava API to access activity data, athlete profiles, segments, and routes, enabling fitness tracking and analysis with Claude.
- **[Stripe](https://github.com/atharvagupta2003/mcp-stripe)** - This MCP allows integration with Stripe for handling payments, customers, and refunds.
@@ -538,6 +559,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[YNAB](https://github.com/ChuckBryan/ynabmcpserver)** - A Model Context Protocol (MCP) server for integrating with YNAB (You Need A Budget), allowing AI assistants to securely access and analyze your financial data.
- **[YouTube](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/youtube)** - Extract Youtube video information (with proxies support).
- **[YouTube](https://github.com/ZubeidHendricks/youtube-mcp-server)** - Comprehensive YouTube API integration for video management, Shorts creation, and analytics.
- **[YouTube Video Summarizer](https://github.com/nabid-pf/youtube-video-summarizer-mcp)** - Summarize lengthy youtube videos.
- **[Zoom](https://github.com/Prathamesh0901/zoom-mcp-server/tree/main)** - Create, update, read and delete your zoom meetings.
- **[mcp_weather](https://github.com/isdaniel/mcp_weather_server)** - Get weather information from https://api.open-meteo.com API.

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6
package.json
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@@ -20,14 +20,8 @@
},
"dependencies": {
"@modelcontextprotocol/server-everything": "*",
"@modelcontextprotocol/server-gdrive": "*",
"@modelcontextprotocol/server-postgres": "*",
"@modelcontextprotocol/server-puppeteer": "*",
"@modelcontextprotocol/server-slack": "*",
"@modelcontextprotocol/server-brave-search": "*",
"@modelcontextprotocol/server-memory": "*",
"@modelcontextprotocol/server-filesystem": "*",
"@modelcontextprotocol/server-everart": "*",
"@modelcontextprotocol/server-sequential-thinking": "*"
}
}

22
src/aws-kb-retrieval-server/Dockerfile
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@@ -1,22 +0,0 @@
FROM node:22.12-alpine AS builder
COPY src/aws-kb-retrieval-server /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

177
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@@ -1,177 +0,0 @@
# AWS Knowledge Base Retrieval MCP Server
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.
## Features
- **RAG (Retrieval-Augmented Generation)**: Retrieve context from the AWS Knowledge Base based on a query and a Knowledge Base ID.
- **Supports multiple results retrieval**: Option to retrieve a customizable number of results.
## Tools
- **retrieve_from_aws_kb**
- Perform retrieval operations using the AWS Knowledge Base.
- Inputs:
- `query` (string): The search query for retrieval.
- `knowledgeBaseId` (string): The ID of the AWS Knowledge Base.
- `n` (number, optional): Number of results to retrieve (default: 3).
## Configuration
### Setting up AWS Credentials
1. Obtain AWS access key ID, secret access key, and region from the AWS Management Console.
2. Ensure these credentials have appropriate permissions for Bedrock Agent Runtime operations.
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"AWS_ACCESS_KEY_ID",
"-e",
"AWS_SECRET_ACCESS_KEY",
"-e",
"AWS_REGION",
"mcp/aws-kb-retrieval-server"
],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-aws-kb-retrieval"],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
### Usage with VS Code
For quick installation, use one of the one-click install buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=aws-kb-retrieval&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_access_key%22%2C%22description%22%3A%22AWS%20Access%20Key%20ID%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_secret_key%22%2C%22description%22%3A%22AWS%20Secret%20Access%20Key%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_region%22%2C%22description%22%3A%22AWS%20Region%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-aws-kb-retrieval%22%5D%2C%22env%22%3A%7B%22AWS_ACCESS_KEY_ID%22%3A%22%24%7Binput%3Aaws_access_key%7D%22%2C%22AWS_SECRET_ACCESS_KEY%22%3A%22%24%7Binput%3Aaws_secret_key%7D%22%2C%22AWS_REGION%22%3A%22%24%7Binput%3Aaws_region%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=aws-kb-retrieval&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_access_key%22%2C%22description%22%3A%22AWS%20Access%20Key%20ID%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_secret_key%22%2C%22description%22%3A%22AWS%20Secret%20Access%20Key%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_region%22%2C%22description%22%3A%22AWS%20Region%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-aws-kb-retrieval%22%5D%2C%22env%22%3A%7B%22AWS_ACCESS_KEY_ID%22%3A%22%24%7Binput%3Aaws_access_key%7D%22%2C%22AWS_SECRET_ACCESS_KEY%22%3A%22%24%7Binput%3Aaws_secret_key%7D%22%2C%22AWS_REGION%22%3A%22%24%7Binput%3Aaws_region%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=aws-kb-retrieval&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_access_key%22%2C%22description%22%3A%22AWS%20Access%20Key%20ID%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_secret_key%22%2C%22description%22%3A%22AWS%20Secret%20Access%20Key%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_region%22%2C%22description%22%3A%22AWS%20Region%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Faws-kb-retrieval-server%22%5D%2C%22env%22%3A%7B%22AWS_ACCESS_KEY_ID%22%3A%22%24%7Binput%3Aaws_access_key%7D%22%2C%22AWS_SECRET_ACCESS_KEY%22%3A%22%24%7Binput%3Aaws_secret_key%7D%22%2C%22AWS_REGION%22%3A%22%24%7Binput%3Aaws_region%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=aws-kb-retrieval&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_access_key%22%2C%22description%22%3A%22AWS%20Access%20Key%20ID%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_secret_key%22%2C%22description%22%3A%22AWS%20Secret%20Access%20Key%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22aws_region%22%2C%22description%22%3A%22AWS%20Region%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Faws-kb-retrieval-server%22%5D%2C%22env%22%3A%7B%22AWS_ACCESS_KEY_ID%22%3A%22%24%7Binput%3Aaws_access_key%7D%22%2C%22AWS_SECRET_ACCESS_KEY%22%3A%22%24%7Binput%3Aaws_secret_key%7D%22%2C%22AWS_REGION%22%3A%22%24%7Binput%3Aaws_region%7D%22%7D%7D&quality=insiders)
#### Manual Installation
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "aws_access_key",
"description": "AWS Access Key ID",
"password": true
},
{
"type": "promptString",
"id": "aws_secret_key",
"description": "AWS Secret Access Key",
"password": true
},
{
"type": "promptString",
"id": "aws_region",
"description": "AWS Region"
}
],
"servers": {
"aws-kb-retrieval": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-aws-kb-retrieval"],
"env": {
"AWS_ACCESS_KEY_ID": "${input:aws_access_key}",
"AWS_SECRET_ACCESS_KEY": "${input:aws_secret_key}",
"AWS_REGION": "${input:aws_region}"
}
}
}
}
}
```
For Docker installation:
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "aws_access_key",
"description": "AWS Access Key ID",
"password": true
},
{
"type": "promptString",
"id": "aws_secret_key",
"description": "AWS Secret Access Key",
"password": true
},
{
"type": "promptString",
"id": "aws_region",
"description": "AWS Region"
}
],
"servers": {
"aws-kb-retrieval": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/aws-kb-retrieval-server"],
"env": {
"AWS_ACCESS_KEY_ID": "${input:aws_access_key}",
"AWS_SECRET_ACCESS_KEY": "${input:aws_secret_key}",
"AWS_REGION": "${input:aws_region}"
}
}
}
}
}
```
## Building
Docker:
```sh
docker build -t mcp/aws-kb-retrieval -f src/aws-kb-retrieval-server/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

166
src/aws-kb-retrieval-server/index.ts
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@@ -1,166 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import {
BedrockAgentRuntimeClient,
RetrieveCommand,
RetrieveCommandInput,
} from "@aws-sdk/client-bedrock-agent-runtime";
// AWS client initialization
const bedrockClient = new BedrockAgentRuntimeClient({
region: process.env.AWS_REGION,
credentials: {
accessKeyId: process.env.AWS_ACCESS_KEY_ID!,
secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY!,
},
});
interface RAGSource {
id: string;
fileName: string;
snippet: string;
score: number;
}
async function retrieveContext(
query: string,
knowledgeBaseId: string,
n: number = 3
): Promise<{
context: string;
isRagWorking: boolean;
ragSources: RAGSource[];
}> {
try {
if (!knowledgeBaseId) {
console.error("knowledgeBaseId is not provided");
return {
context: "",
isRagWorking: false,
ragSources: [],
};
}
const input: RetrieveCommandInput = {
knowledgeBaseId: knowledgeBaseId,
retrievalQuery: { text: query },
retrievalConfiguration: {
vectorSearchConfiguration: { numberOfResults: n },
},
};
const command = new RetrieveCommand(input);
const response = await bedrockClient.send(command);
const rawResults = response?.retrievalResults || [];
const ragSources: RAGSource[] = rawResults
.filter((res) => res?.content?.text)
.map((result, index) => {
const uri = result?.location?.s3Location?.uri || "";
const fileName = uri.split("/").pop() || `Source-${index}.txt`;
return {
id: (result.metadata?.["x-amz-bedrock-kb-chunk-id"] as string) || `chunk-${index}`,
fileName: fileName.replace(/_/g, " ").replace(".txt", ""),
snippet: result.content?.text || "",
score: (result.score as number) || 0,
};
})
.slice(0, 3);
const context = rawResults
.filter((res): res is { content: { text: string } } => res?.content?.text !== undefined)
.map(res => res.content.text)
.join("\n\n");
return {
context,
isRagWorking: true,
ragSources,
};
} catch (error) {
console.error("RAG Error:", error);
return { context: "", isRagWorking: false, ragSources: [] };
}
}
// Define the retrieval tool
const RETRIEVAL_TOOL: Tool = {
name: "retrieve_from_aws_kb",
description: "Performs retrieval from the AWS Knowledge Base using the provided query and Knowledge Base ID.",
inputSchema: {
type: "object",
properties: {
query: { type: "string", description: "The query to perform retrieval on" },
knowledgeBaseId: { type: "string", description: "The ID of the AWS Knowledge Base" },
n: { type: "number", default: 3, description: "Number of results to retrieve" },
},
required: ["query", "knowledgeBaseId"],
},
};
// Server setup
const server = new Server(
{
name: "aws-kb-retrieval-server",
version: "0.2.0",
},
{
capabilities: {
tools: {},
},
},
);
// Request handlers
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [RETRIEVAL_TOOL],
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
if (name === "retrieve_from_aws_kb") {
const { query, knowledgeBaseId, n = 3 } = args as Record<string, any>;
try {
const result = await retrieveContext(query, knowledgeBaseId, n);
if (result.isRagWorking) {
return {
content: [
{ type: "text", text: `Context: ${result.context}` },
{ type: "text", text: `RAG Sources: ${JSON.stringify(result.ragSources)}` },
],
};
} else {
return {
content: [{ type: "text", text: "Retrieval failed or returned no results." }],
};
}
} catch (error) {
return {
content: [{ type: "text", text: `Error occurred: ${error}` }],
};
}
} else {
return {
content: [{ type: "text", text: `Unknown tool: ${name}` }],
isError: true,
};
}
});
// Server startup
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("AWS KB Retrieval Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error running server:", error);
process.exit(1);
});

30
src/aws-kb-retrieval-server/package.json
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@@ -1,30 +0,0 @@
{
"name": "@modelcontextprotocol/server-aws-kb-retrieval",
"version": "0.6.2",
"description": "MCP server for AWS Knowledge Base retrieval using Bedrock Agent Runtime",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-aws-kb-retrieval": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"@aws-sdk/client-bedrock-agent-runtime": "^3.0.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

17
src/aws-kb-retrieval-server/tsconfig.json
View File

@@ -1,17 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": ".",
"composite": true,
"incremental": true,
"tsBuildInfoFile": "./dist/.tsbuildinfo"
},
"include": [
"./**/*.ts"
],
"exclude": [
"node_modules",
"dist"
]
}

23
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@@ -1,23 +0,0 @@
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/brave-search /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

166
src/brave-search/README.md
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@@ -1,166 +0,0 @@
# Brave Search MCP Server
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
## Features
- **Web Search**: General queries, news, articles, with pagination and freshness controls
- **Local Search**: Find businesses, restaurants, and services with detailed information
- **Flexible Filtering**: Control result types, safety levels, and content freshness
- **Smart Fallbacks**: Local search automatically falls back to web when no results are found
## Tools
- **brave_web_search**
- Execute web searches with pagination and filtering
- Inputs:
- `query` (string): Search terms
- `count` (number, optional): Results per page (max 20)
- `offset` (number, optional): Pagination offset (max 9)
- **brave_local_search**
- Search for local businesses and services
- Inputs:
- `query` (string): Local search terms
- `count` (number, optional): Number of results (max 20)
- Automatically falls back to web search if no local results found
## Configuration
### Getting an API Key
1. Sign up for a [Brave Search API account](https://brave.com/search/api/)
2. Choose a plan (Free tier available with 2,000 queries/month)
3. Generate your API key [from the developer dashboard](https://api-dashboard.search.brave.com/app/keys)
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
### Docker
```json
{
"mcpServers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
### Usage with VS Code
For quick installation, use the one-click installation buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=brave&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22apiKey%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-brave-search%22%5D%2C%22env%22%3A%7B%22BRAVE_API_KEY%22%3A%22%24%7Binput%3Abrave_api_key%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=brave&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22apiKey%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-brave-search%22%5D%2C%22env%22%3A%7B%22BRAVE_API_KEY%22%3A%22%24%7Binput%3Abrave_api_key%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=brave&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22apiKey%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-e%22%2C%22BRAVE_API_KEY%22%2C%22mcp%2Fbrave-search%22%5D%2C%22env%22%3A%7B%22BRAVE_API_KEY%22%3A%22%24%7Binput%3Abrave_api_key%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=brave&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22apiKey%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-e%22%2C%22BRAVE_API_KEY%22%2C%22mcp%2Fbrave-search%22%5D%2C%22env%22%3A%7B%22BRAVE_API_KEY%22%3A%22%24%7Binput%3Abrave_api_key%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
#### Docker
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "brave_api_key",
"description": "Brave Search API Key",
"password": true
}
],
"servers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "${input:brave_api_key}"
}
}
}
}
}
```
#### NPX
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "brave_api_key",
"description": "Brave Search API Key",
"password": true
}
],
"servers": {
"brave-search": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-brave-search"],
"env": {
"BRAVE_API_KEY": "${input:brave_api_key}"
}
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/brave-search:latest -f src/brave-search/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

376
src/brave-search/index.ts
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@@ -1,376 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
const WEB_SEARCH_TOOL: Tool = {
name: "brave_web_search",
description:
"Performs a web search using the Brave Search API, ideal for general queries, news, articles, and online content. " +
"Use this for broad information gathering, recent events, or when you need diverse web sources. " +
"Supports pagination, content filtering, and freshness controls. " +
"Maximum 20 results per request, with offset for pagination. ",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Search query (max 400 chars, 50 words)"
},
count: {
type: "number",
description: "Number of results (1-20, default 10)",
default: 10
},
offset: {
type: "number",
description: "Pagination offset (max 9, default 0)",
default: 0
},
},
required: ["query"],
},
};
const LOCAL_SEARCH_TOOL: Tool = {
name: "brave_local_search",
description:
"Searches for local businesses and places using Brave's Local Search API. " +
"Best for queries related to physical locations, businesses, restaurants, services, etc. " +
"Returns detailed information including:\n" +
"- Business names and addresses\n" +
"- Ratings and review counts\n" +
"- Phone numbers and opening hours\n" +
"Use this when the query implies 'near me' or mentions specific locations. " +
"Automatically falls back to web search if no local results are found.",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Local search query (e.g. 'pizza near Central Park')"
},
count: {
type: "number",
description: "Number of results (1-20, default 5)",
default: 5
},
},
required: ["query"]
}
};
// Server implementation
const server = new Server(
{
name: "example-servers/brave-search",
version: "0.1.0",
},
{
capabilities: {
tools: {},
},
},
);
// Check for API key
const BRAVE_API_KEY = process.env.BRAVE_API_KEY!;
if (!BRAVE_API_KEY) {
console.error("Error: BRAVE_API_KEY environment variable is required");
process.exit(1);
}
const RATE_LIMIT = {
perSecond: 1,
perMonth: 15000
};
let requestCount = {
second: 0,
month: 0,
lastReset: Date.now()
};
function checkRateLimit() {
const now = Date.now();
if (now - requestCount.lastReset > 1000) {
requestCount.second = 0;
requestCount.lastReset = now;
}
if (requestCount.second >= RATE_LIMIT.perSecond ||
requestCount.month >= RATE_LIMIT.perMonth) {
throw new Error('Rate limit exceeded');
}
requestCount.second++;
requestCount.month++;
}
interface BraveWeb {
web?: {
results?: Array<{
title: string;
description: string;
url: string;
language?: string;
published?: string;
rank?: number;
}>;
};
locations?: {
results?: Array<{
id: string; // Required by API
title?: string;
}>;
};
}
interface BraveLocation {
id: string;
name: string;
address: {
streetAddress?: string;
addressLocality?: string;
addressRegion?: string;
postalCode?: string;
};
coordinates?: {
latitude: number;
longitude: number;
};
phone?: string;
rating?: {
ratingValue?: number;
ratingCount?: number;
};
openingHours?: string[];
priceRange?: string;
}
interface BravePoiResponse {
results: BraveLocation[];
}
interface BraveDescription {
descriptions: {[id: string]: string};
}
function isBraveWebSearchArgs(args: unknown): args is { query: string; count?: number } {
return (
typeof args === "object" &&
args !== null &&
"query" in args &&
typeof (args as { query: string }).query === "string"
);
}
function isBraveLocalSearchArgs(args: unknown): args is { query: string; count?: number } {
return (
typeof args === "object" &&
args !== null &&
"query" in args &&
typeof (args as { query: string }).query === "string"
);
}
async function performWebSearch(query: string, count: number = 10, offset: number = 0) {
checkRateLimit();
const url = new URL('https://api.search.brave.com/res/v1/web/search');
url.searchParams.set('q', query);
url.searchParams.set('count', Math.min(count, 20).toString()); // API limit
url.searchParams.set('offset', offset.toString());
const response = await fetch(url, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!response.ok) {
throw new Error(`Brave API error: ${response.status} ${response.statusText}\n${await response.text()}`);
}
const data = await response.json() as BraveWeb;
// Extract just web results
const results = (data.web?.results || []).map(result => ({
title: result.title || '',
description: result.description || '',
url: result.url || ''
}));
return results.map(r =>
`Title: ${r.title}\nDescription: ${r.description}\nURL: ${r.url}`
).join('\n\n');
}
async function performLocalSearch(query: string, count: number = 5) {
checkRateLimit();
// Initial search to get location IDs
const webUrl = new URL('https://api.search.brave.com/res/v1/web/search');
webUrl.searchParams.set('q', query);
webUrl.searchParams.set('search_lang', 'en');
webUrl.searchParams.set('result_filter', 'locations');
webUrl.searchParams.set('count', Math.min(count, 20).toString());
const webResponse = await fetch(webUrl, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!webResponse.ok) {
throw new Error(`Brave API error: ${webResponse.status} ${webResponse.statusText}\n${await webResponse.text()}`);
}
const webData = await webResponse.json() as BraveWeb;
const locationIds = webData.locations?.results?.filter((r): r is {id: string; title?: string} => r.id != null).map(r => r.id) || [];
if (locationIds.length === 0) {
return performWebSearch(query, count); // Fallback to web search
}
// Get POI details and descriptions in parallel
const [poisData, descriptionsData] = await Promise.all([
getPoisData(locationIds),
getDescriptionsData(locationIds)
]);
return formatLocalResults(poisData, descriptionsData);
}
async function getPoisData(ids: string[]): Promise<BravePoiResponse> {
checkRateLimit();
const url = new URL('https://api.search.brave.com/res/v1/local/pois');
ids.filter(Boolean).forEach(id => url.searchParams.append('ids', id));
const response = await fetch(url, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!response.ok) {
throw new Error(`Brave API error: ${response.status} ${response.statusText}\n${await response.text()}`);
}
const poisResponse = await response.json() as BravePoiResponse;
return poisResponse;
}
async function getDescriptionsData(ids: string[]): Promise<BraveDescription> {
checkRateLimit();
const url = new URL('https://api.search.brave.com/res/v1/local/descriptions');
ids.filter(Boolean).forEach(id => url.searchParams.append('ids', id));
const response = await fetch(url, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!response.ok) {
throw new Error(`Brave API error: ${response.status} ${response.statusText}\n${await response.text()}`);
}
const descriptionsData = await response.json() as BraveDescription;
return descriptionsData;
}
function formatLocalResults(poisData: BravePoiResponse, descData: BraveDescription): string {
return (poisData.results || []).map(poi => {
const address = [
poi.address?.streetAddress ?? '',
poi.address?.addressLocality ?? '',
poi.address?.addressRegion ?? '',
poi.address?.postalCode ?? ''
].filter(part => part !== '').join(', ') || 'N/A';
return `Name: ${poi.name}
Address: ${address}
Phone: ${poi.phone || 'N/A'}
Rating: ${poi.rating?.ratingValue ?? 'N/A'} (${poi.rating?.ratingCount ?? 0} reviews)
Price Range: ${poi.priceRange || 'N/A'}
Hours: ${(poi.openingHours || []).join(', ') || 'N/A'}
Description: ${descData.descriptions[poi.id] || 'No description available'}
`;
}).join('\n---\n') || 'No local results found';
}
// Tool handlers
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [WEB_SEARCH_TOOL, LOCAL_SEARCH_TOOL],
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
try {
const { name, arguments: args } = request.params;
if (!args) {
throw new Error("No arguments provided");
}
switch (name) {
case "brave_web_search": {
if (!isBraveWebSearchArgs(args)) {
throw new Error("Invalid arguments for brave_web_search");
}
const { query, count = 10 } = args;
const results = await performWebSearch(query, count);
return {
content: [{ type: "text", text: results }],
isError: false,
};
}
case "brave_local_search": {
if (!isBraveLocalSearchArgs(args)) {
throw new Error("Invalid arguments for brave_local_search");
}
const { query, count = 5 } = args;
const results = await performLocalSearch(query, count);
return {
content: [{ type: "text", text: results }],
isError: false,
};
}
default:
return {
content: [{ type: "text", text: `Unknown tool: ${name}` }],
isError: true,
};
}
} catch (error) {
return {
content: [
{
type: "text",
text: `Error: ${error instanceof Error ? error.message : String(error)}`,
},
],
isError: true,
};
}
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Brave Search MCP Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error running server:", error);
process.exit(1);
});

29
src/brave-search/package.json
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@@ -1,29 +0,0 @@
{
"name": "@modelcontextprotocol/server-brave-search",
"version": "0.6.2",
"description": "MCP server for Brave Search API integration",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-brave-search": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

10
src/brave-search/tsconfig.json
View File

@@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

24
src/everart/Dockerfile
View File

@@ -1,24 +0,0 @@
FROM node:22.12-alpine AS builder
COPY src/everart /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
CMD ["node", "dist/index.js"]

173
src/everart/README.md
View File

@@ -1,173 +0,0 @@
# EverArt MCP Server
Image generation server for Claude Desktop using EverArt's API.
## Install
```bash
npm install
export EVERART_API_KEY=your_key_here
```
## Config
### Usage with Claude Desktop
Add to Claude Desktop config:
#### Docker
```json
{
"mcpServers": {
"everart": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "EVERART_API_KEY", "mcp/everart"],
"env": {
"EVERART_API_KEY": "your_key_here"
}
}
}
}
```
#### NPX
```json
{
"mcpServers": {
"everart": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everart"],
"env": {
"EVERART_API_KEY": "your_key_here"
}
}
}
}
```
### Usage with VS Code
For quick installation, use the one-click installation buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everart&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22everart_api_key%22%2C%22description%22%3A%22EverArt%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-everart%22%5D%2C%22env%22%3A%7B%22EVERART_API_KEY%22%3A%22%24%7Binput%3Aeverart_api_key%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everart&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22everart_api_key%22%2C%22description%22%3A%22EverArt%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-everart%22%5D%2C%22env%22%3A%7B%22EVERART_API_KEY%22%3A%22%24%7Binput%3Aeverart_api_key%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everart&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22everart_api_key%22%2C%22description%22%3A%22EverArt%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Feverart%22%5D%2C%22env%22%3A%7B%22EVERART_API_KEY%22%3A%22%24%7Binput%3Aeverart_api_key%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=everart&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22everart_api_key%22%2C%22description%22%3A%22EverArt%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Feverart%22%5D%2C%22env%22%3A%7B%22EVERART_API_KEY%22%3A%22%24%7Binput%3Aeverart_api_key%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is needed when using the `mcp.json` file.
#### Docker
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "everart_api_key",
"description": "EverArt API Key",
"password": true
}
],
"servers": {
"everart": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "EVERART_API_KEY", "mcp/everart"],
"env": {
"EVERART_API_KEY": "${input:everart_api_key}"
}
}
}
}
}
```
#### NPX
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "everart_api_key",
"description": "EverArt API Key",
"password": true
}
],
"servers": {
"everart": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everart"],
"env": {
"EVERART_API_KEY": "${input:everart_api_key}"
}
}
}
}
}
```
## Tools
### generate_image
Generates images with multiple model options. Opens result in browser and returns URL.
Parameters:
```typescript
{
prompt: string, // Image description
model?: string, // Model ID (default: "207910310772879360")
image_count?: number // Number of images (default: 1)
}
```
Models:
- 5000: FLUX1.1 (standard)
- 9000: FLUX1.1-ultra
- 6000: SD3.5
- 7000: Recraft-Real
- 8000: Recraft-Vector
All images generated at 1024x1024.
Sample usage:
```javascript
const result = await client.callTool({
name: "generate_image",
arguments: {
prompt: "A cat sitting elegantly",
model: "7000",
image_count: 1
}
});
```
Response format:
```
Image generated successfully!
The image has been opened in your default browser.
Generation details:
- Model: 7000
- Prompt: "A cat sitting elegantly"
- Image URL: https://storage.googleapis.com/...
You can also click the URL above to view the image again.
```
## Building w/ Docker
```sh
docker build -t mcp/everart -f src/everart/Dockerfile .
```

160
src/everart/index.ts
View File

@@ -1,160 +0,0 @@
#!/usr/bin/env node
import EverArt from "everart";
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
ListResourcesRequestSchema,
ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
import open from "open";
const server = new Server(
{
name: "example-servers/everart",
version: "0.2.0",
},
{
capabilities: {
tools: {},
resources: {}, // Required for image resources
},
},
);
if (!process.env.EVERART_API_KEY) {
console.error("EVERART_API_KEY environment variable is not set");
process.exit(1);
}
const client = new EverArt.default(process.env.EVERART_API_KEY);
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: "generate_image",
description:
"Generate images using EverArt Models and returns a clickable link to view the generated image. " +
"The tool will return a URL that can be clicked to view the image in a browser. " +
"Available models:\n" +
"- 5000:FLUX1.1: Standard quality\n" +
"- 9000:FLUX1.1-ultra: Ultra high quality\n" +
"- 6000:SD3.5: Stable Diffusion 3.5\n" +
"- 7000:Recraft-Real: Photorealistic style\n" +
"- 8000:Recraft-Vector: Vector art style\n" +
"\nThe response will contain a direct link to view the generated image.",
inputSchema: {
type: "object",
properties: {
prompt: {
type: "string",
description: "Text description of desired image",
},
model: {
type: "string",
description:
"Model ID (5000:FLUX1.1, 9000:FLUX1.1-ultra, 6000:SD3.5, 7000:Recraft-Real, 8000:Recraft-Vector)",
default: "5000",
},
image_count: {
type: "number",
description: "Number of images to generate",
default: 1,
},
},
required: ["prompt"],
},
},
],
}));
server.setRequestHandler(ListResourcesRequestSchema, async () => {
return {
resources: [
{
uri: "everart://images",
mimeType: "image/png",
name: "Generated Images",
},
],
};
});
server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
if (request.params.uri === "everart://images") {
return {
contents: [
{
uri: "everart://images",
mimeType: "image/png",
blob: "", // Empty since this is just for listing
},
],
};
}
throw new Error("Resource not found");
});
server.setRequestHandler(CallToolRequestSchema, async (request) => {
if (request.params.name === "generate_image") {
try {
const {
prompt,
model = "207910310772879360",
image_count = 1,
} = request.params.arguments as any;
// Use correct EverArt API method
const generation = await client.v1.generations.create(
model,
prompt,
"txt2img",
{
imageCount: image_count,
height: 1024,
width: 1024,
},
);
// Wait for generation to complete
const completedGen = await client.v1.generations.fetchWithPolling(
generation[0].id,
);
const imgUrl = completedGen.image_url;
if (!imgUrl) throw new Error("No image URL");
// Automatically open the image URL in the default browser
await open(imgUrl);
// Return a formatted message with the clickable link
return {
content: [
{
type: "text",
text: `Image generated successfully!\nThe image has been opened in your default browser.\n\nGeneration details:\n- Model: ${model}\n- Prompt: "${prompt}"\n- Image URL: ${imgUrl}\n\nYou can also click the URL above to view the image again.`,
},
],
};
} catch (error: unknown) {
console.error("Detailed error:", error);
const errorMessage =
error instanceof Error ? error.message : "Unknown error";
return {
content: [{ type: "text", text: `Error: ${errorMessage}` }],
isError: true,
};
}
}
throw new Error(`Unknown tool: ${request.params.name}`);
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("EverArt MCP Server running on stdio");
}
runServer().catch(console.error);

32
src/everart/package.json
View File

@@ -1,32 +0,0 @@
{
"name": "@modelcontextprotocol/server-everart",
"version": "0.6.2",
"description": "MCP server for EverArt API integration",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-everart": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"everart": "^1.0.0",
"node-fetch": "^3.3.2",
"open": "^9.1.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
}

10
src/everart/tsconfig.json
View File

@@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

2
src/everything/package.json
View File

@@ -22,7 +22,7 @@
"start:streamableHttp": "node dist/streamableHttp.js"
},
"dependencies": {
"@modelcontextprotocol/sdk": "^1.11.0",
"@modelcontextprotocol/sdk": "^1.12.0",
"express": "^4.21.1",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.5"

52
src/everything/sse.ts
View File

@@ -6,36 +6,48 @@ console.error('Starting SSE server...');
const app = express();
const { server, cleanup } = createServer();
let transport: SSEServerTransport;
const transports: Map<string, SSEServerTransport> = new Map<string, SSEServerTransport>();
app.get("/sse", async (req, res) => {
console.error("Received connection");
transport = new SSEServerTransport("/message", res);
await server.connect(transport);
let transport: SSEServerTransport;
const { server, cleanup } = createServer();
server.onclose = async () => {
await cleanup();
await server.close();
};
if (req?.query?.sessionId) {
const sessionId = (req?.query?.sessionId as string);
transport = transports.get(sessionId) as SSEServerTransport;
console.error("Client Reconnecting? This shouldn't happen; when client has a sessionId, GET /sse should not be called again.", transport.sessionId);
} else {
// Create and store transport for new session
transport = new SSEServerTransport("/message", res);
transports.set(transport.sessionId, transport);
// Connect server to transport
await server.connect(transport);
console.error("Client Connected: ", transport.sessionId);
// Handle close of connection
server.onclose = async () => {
console.error("Client Disconnected: ", transport.sessionId);
transports.delete(transport.sessionId);
await cleanup();
};
}
});
app.post("/message", async (req, res) => {
console.error("Received message");
await transport.handlePostMessage(req, res);
});
process.on("SIGINT", async () => {
await cleanup();
await server.close();
process.exit(0);
const sessionId = (req?.query?.sessionId as string);
const transport = transports.get(sessionId);
if (transport) {
console.error("Client Message from", sessionId);
await transport.handlePostMessage(req, res);
} else {
console.error(`No transport found for sessionId ${sessionId}`)
}
});
const PORT = process.env.PORT || 3001;
app.listen(PORT, () => {
console.error(`Server is running on port ${PORT}`);
});

42
src/everything/streamableHttp.ts
View File

@@ -8,9 +8,7 @@ console.error('Starting Streamable HTTP server...');
const app = express();
const { server, cleanup } = createServer();
const transports: { [sessionId: string]: StreamableHTTPServerTransport } = {};
const transports: Map<string, StreamableHTTPServerTransport> = new Map<string, StreamableHTTPServerTransport>();
app.post('/mcp', async (req: Request, res: Response) => {
console.error('Received MCP POST request');
@@ -19,29 +17,34 @@ app.post('/mcp', async (req: Request, res: Response) => {
const sessionId = req.headers['mcp-session-id'] as string | undefined;
let transport: StreamableHTTPServerTransport;
if (sessionId && transports[sessionId]) {
if (sessionId && transports.has(sessionId)) {
// Reuse existing transport
transport = transports[sessionId];
transport = transports.get(sessionId)!;
} else if (!sessionId) {
const { server, cleanup } = createServer();
// New initialization request
const eventStore = new InMemoryEventStore();
transport = new StreamableHTTPServerTransport({
sessionIdGenerator: () => randomUUID(),
eventStore, // Enable resumability
onsessioninitialized: (sessionId) => {
onsessioninitialized: (sessionId: string) => {
// Store the transport by session ID when session is initialized
// This avoids race conditions where requests might come in before the session is stored
console.error(`Session initialized with ID: ${sessionId}`);
transports[sessionId] = transport;
transports.set(sessionId, transport);
}
});
// Set up onclose handler to clean up transport when closed
transport.onclose = () => {
server.onclose = async () => {
const sid = transport.sessionId;
if (sid && transports[sid]) {
if (sid && transports.has(sid)) {
console.error(`Transport closed for session ${sid}, removing from transports map`);
delete transports[sid];
transports.delete(sid);
await cleanup();
}
};
@@ -87,7 +90,7 @@ app.post('/mcp', async (req: Request, res: Response) => {
app.get('/mcp', async (req: Request, res: Response) => {
console.error('Received MCP GET request');
const sessionId = req.headers['mcp-session-id'] as string | undefined;
if (!sessionId || !transports[sessionId]) {
if (!sessionId || !transports.has(sessionId)) {
res.status(400).json({
jsonrpc: '2.0',
error: {
@@ -107,14 +110,14 @@ app.get('/mcp', async (req: Request, res: Response) => {
console.error(`Establishing new SSE stream for session ${sessionId}`);
}
const transport = transports[sessionId];
await transport.handleRequest(req, res);
const transport = transports.get(sessionId);
await transport!.handleRequest(req, res);
});
// Handle DELETE requests for session termination (according to MCP spec)
app.delete('/mcp', async (req: Request, res: Response) => {
const sessionId = req.headers['mcp-session-id'] as string | undefined;
if (!sessionId || !transports[sessionId]) {
if (!sessionId || !transports.has(sessionId)) {
res.status(400).json({
jsonrpc: '2.0',
error: {
@@ -129,8 +132,8 @@ app.delete('/mcp', async (req: Request, res: Response) => {
console.error(`Received session termination request for session ${sessionId}`);
try {
const transport = transports[sessionId];
await transport.handleRequest(req, res);
const transport = transports.get(sessionId);
await transport!.handleRequest(req, res);
} catch (error) {
console.error('Error handling session termination:', error);
if (!res.headersSent) {
@@ -161,14 +164,13 @@ process.on('SIGINT', async () => {
for (const sessionId in transports) {
try {
console.error(`Closing transport for session ${sessionId}`);
await transports[sessionId].close();
delete transports[sessionId];
await transports.get(sessionId)!.close();
transports.delete(sessionId);
} catch (error) {
console.error(`Error closing transport for session ${sessionId}:`, error);
}
}
await cleanup();
await server.close();
console.error('Server shutdown complete');
process.exit(0);
});

29
src/gdrive/Dockerfile
View File

@@ -1,29 +0,0 @@
FROM node:22.12-alpine AS builder
COPY src/gdrive /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
COPY src/gdrive/replace_open.sh /replace_open.sh
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
RUN sh /replace_open.sh
RUN rm /replace_open.sh
ENTRYPOINT ["node", "dist/index.js"]

157
src/gdrive/README.md
View File

@@ -1,157 +0,0 @@
# Google Drive server
This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
## Components
### Tools
- **search**
- Search for files in Google Drive
- Input: `query` (string): Search query
- Returns file names and MIME types of matching files
### Resources
The server provides access to Google Drive files:
- **Files** (`gdrive:///<file_id>`)
- Supports all file types
- Google Workspace files are automatically exported:
- Docs → Markdown
- Sheets → CSV
- Presentations → Plain text
- Drawings → PNG
- Other files are provided in their native format
## Getting started
1. [Create a new Google Cloud project](https://console.cloud.google.com/projectcreate)
2. [Enable the Google Drive API](https://console.cloud.google.com/workspace-api/products)
3. [Configure an OAuth consent screen](https://console.cloud.google.com/apis/credentials/consent) ("internal" is fine for testing)
4. Add OAuth scope `https://www.googleapis.com/auth/drive.readonly`
5. [Create an OAuth Client ID](https://console.cloud.google.com/apis/credentials/oauthclient) for application type "Desktop App"
6. Download the JSON file of your client's OAuth keys
7. Rename the key file to `gcp-oauth.keys.json` and place into the root of this repo (i.e. `servers/gcp-oauth.keys.json`)
Make sure to build the server with either `npm run build` or `npm run watch`.
### Authentication
To authenticate and save credentials:
1. Run the server with the `auth` argument: `node ./dist auth`
2. This will open an authentication flow in your system browser
3. Complete the authentication process
4. Credentials will be saved in the root of this repo (i.e. `servers/.gdrive-server-credentials.json`)
### Usage with Desktop App
To integrate this server with the desktop app, add the following to your app's server configuration:
#### Docker
Authentication:
Assuming you have completed setting up the OAuth application on Google Cloud, you can now auth the server with the following command, replacing `/path/to/gcp-oauth.keys.json` with the path to your OAuth keys file:
```bash
docker run -i --rm --mount type=bind,source=/path/to/gcp-oauth.keys.json,target=/gcp-oauth.keys.json -v mcp-gdrive:/gdrive-server -e GDRIVE_OAUTH_PATH=/gcp-oauth.keys.json -e "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json" -p 3000:3000 mcp/gdrive auth
```
The command will print the URL to open in your browser. Open this URL in your browser and complete the authentication process. The credentials will be saved in the `mcp-gdrive` volume.
Once authenticated, you can use the server in your app's server configuration:
```json
{
"mcpServers": {
"gdrive": {
"command": "docker",
"args": ["run", "-i", "--rm", "-v", "mcp-gdrive:/gdrive-server", "-e", "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json", "mcp/gdrive"]
}
}
}
```
#### NPX
```json
{
"mcpServers": {
"gdrive": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gdrive"
],
"env": {
"GDRIVE_CREDENTIALS_PATH": "/path/to/.gdrive-server-credentials.json"
}
}
}
}
```
### Usage with VS Code
For quick installation, use one of the one-click install buttons below..
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gdrive&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22credentials_path%22%2C%22description%22%3A%22Path%20to%20.gdrive-server-credentials.json%20file%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-gdrive%22%5D%2C%22env%22%3A%7B%22GDRIVE_CREDENTIALS_PATH%22%3A%22%24%7Binput%3Acredentials_path%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gdrive&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22credentials_path%22%2C%22description%22%3A%22Path%20to%20.gdrive-server-credentials.json%20file%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-gdrive%22%5D%2C%22env%22%3A%7B%22GDRIVE_CREDENTIALS_PATH%22%3A%22%24%7Binput%3Acredentials_path%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gdrive&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-v%22%2C%22mcp-gdrive%3A%2Fgdrive-server%22%2C%22-e%22%2C%22GDRIVE_CREDENTIALS_PATH%3D%2Fgdrive-server%2Fcredentials.json%22%2C%22mcp%2Fgdrive%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gdrive&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-v%22%2C%22mcp-gdrive%3A%2Fgdrive-server%22%2C%22-e%22%2C%22GDRIVE_CREDENTIALS_PATH%3D%2Fgdrive-server%2Fcredentials.json%22%2C%22mcp%2Fgdrive%22%5D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
#### NPX
```json
{
"mcp": {
"servers": {
"gdrive": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gdrive"
],
"env": {
"GDRIVE_CREDENTIALS_PATH": "/path/to/.gdrive-server-credentials.json"
}
}
}
}
}
```
#### Docker
```json
{
"mcp": {
"servers": {
"gdrive": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"mcp-gdrive:/gdrive-server",
"-e",
"GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json",
"mcp/gdrive"
]
}
}
}
}
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

219
src/gdrive/index.ts
View File

@@ -1,219 +0,0 @@
#!/usr/bin/env node
import { authenticate } from "@google-cloud/local-auth";
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListResourcesRequestSchema,
ListToolsRequestSchema,
ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fs from "fs";
import { google } from "googleapis";
import path from "path";
import { fileURLToPath } from 'url';
const drive = google.drive("v3");
const server = new Server(
{
name: "example-servers/gdrive",
version: "0.1.0",
},
{
capabilities: {
resources: {},
tools: {},
},
},
);
server.setRequestHandler(ListResourcesRequestSchema, async (request) => {
const pageSize = 10;
const params: any = {
pageSize,
fields: "nextPageToken, files(id, name, mimeType)",
};
if (request.params?.cursor) {
params.pageToken = request.params.cursor;
}
const res = await drive.files.list(params);
const files = res.data.files!;
return {
resources: files.map((file) => ({
uri: `gdrive:///${file.id}`,
mimeType: file.mimeType,
name: file.name,
})),
nextCursor: res.data.nextPageToken,
};
});
server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
const fileId = request.params.uri.replace("gdrive:///", "");
// First get file metadata to check mime type
const file = await drive.files.get({
fileId,
fields: "mimeType",
});
// For Google Docs/Sheets/etc we need to export
if (file.data.mimeType?.startsWith("application/vnd.google-apps")) {
let exportMimeType: string;
switch (file.data.mimeType) {
case "application/vnd.google-apps.document":
exportMimeType = "text/markdown";
break;
case "application/vnd.google-apps.spreadsheet":
exportMimeType = "text/csv";
break;
case "application/vnd.google-apps.presentation":
exportMimeType = "text/plain";
break;
case "application/vnd.google-apps.drawing":
exportMimeType = "image/png";
break;
default:
exportMimeType = "text/plain";
}
const res = await drive.files.export(
{ fileId, mimeType: exportMimeType },
{ responseType: "text" },
);
return {
contents: [
{
uri: request.params.uri,
mimeType: exportMimeType,
text: res.data,
},
],
};
}
// For regular files download content
const res = await drive.files.get(
{ fileId, alt: "media" },
{ responseType: "arraybuffer" },
);
const mimeType = file.data.mimeType || "application/octet-stream";
if (mimeType.startsWith("text/") || mimeType === "application/json") {
return {
contents: [
{
uri: request.params.uri,
mimeType: mimeType,
text: Buffer.from(res.data as ArrayBuffer).toString("utf-8"),
},
],
};
} else {
return {
contents: [
{
uri: request.params.uri,
mimeType: mimeType,
blob: Buffer.from(res.data as ArrayBuffer).toString("base64"),
},
],
};
}
});
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: "search",
description: "Search for files in Google Drive",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Search query",
},
},
required: ["query"],
},
},
],
};
});
server.setRequestHandler(CallToolRequestSchema, async (request) => {
if (request.params.name === "search") {
const userQuery = request.params.arguments?.query as string;
const escapedQuery = userQuery.replace(/\\/g, "\\\\").replace(/'/g, "\\'");
const formattedQuery = `fullText contains '${escapedQuery}'`;
const res = await drive.files.list({
q: formattedQuery,
pageSize: 10,
fields: "files(id, name, mimeType, modifiedTime, size)",
});
const fileList = res.data.files
?.map((file: any) => `${file.name} (${file.mimeType})`)
.join("\n");
return {
content: [
{
type: "text",
text: `Found ${res.data.files?.length ?? 0} files:\n${fileList}`,
},
],
isError: false,
};
}
throw new Error("Tool not found");
});
const credentialsPath = process.env.GDRIVE_CREDENTIALS_PATH || path.join(
path.dirname(fileURLToPath(import.meta.url)),
"../../../.gdrive-server-credentials.json",
);
async function authenticateAndSaveCredentials() {
console.log("Launching auth flow…");
const auth = await authenticate({
keyfilePath: process.env.GDRIVE_OAUTH_PATH || path.join(
path.dirname(fileURLToPath(import.meta.url)),
"../../../gcp-oauth.keys.json",
),
scopes: ["https://www.googleapis.com/auth/drive.readonly"],
});
fs.writeFileSync(credentialsPath, JSON.stringify(auth.credentials));
console.log("Credentials saved. You can now run the server.");
}
async function loadCredentialsAndRunServer() {
if (!fs.existsSync(credentialsPath)) {
console.error(
"Credentials not found. Please run with 'auth' argument first.",
);
process.exit(1);
}
const credentials = JSON.parse(fs.readFileSync(credentialsPath, "utf-8"));
const auth = new google.auth.OAuth2();
auth.setCredentials(credentials);
google.options({ auth });
console.error("Credentials loaded. Starting server.");
const transport = new StdioServerTransport();
await server.connect(transport);
}
if (process.argv[2] === "auth") {
authenticateAndSaveCredentials().catch(console.error);
} else {
loadCredentialsAndRunServer().catch(console.error);
}

31
src/gdrive/package.json
View File

@@ -1,31 +0,0 @@
{
"name": "@modelcontextprotocol/server-gdrive",
"version": "0.6.2",
"description": "MCP server for interacting with Google Drive",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-gdrive": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@google-cloud/local-auth": "^3.0.1",
"@modelcontextprotocol/sdk": "1.0.1",
"googleapis": "^144.0.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

5
src/gdrive/replace_open.sh
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@@ -1,5 +0,0 @@
#! /bin/bash
# Basic script to replace opn(authorizeUrl, { wait: false }).then(cp => cp.unref()); with process.stdout.write(`Open this URL in your browser: ${authorizeUrl}`);
sed -i 's/opn(authorizeUrl, { wait: false }).then(cp => cp.unref());/process.stderr.write(`Open this URL in your browser: ${authorizeUrl}\n`);/' node_modules/@google-cloud/local-auth/build/src/index.js

10
src/gdrive/tsconfig.json
View File

@@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

23
src/github/Dockerfile
View File

@@ -1,23 +0,0 @@
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/github /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22.12-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

442
src/github/README.md
View File

@@ -1,442 +0,0 @@
# GitHub MCP Server
**Deprecation Notice:** Development for this project has been moved to GitHub in the http://github.com/github/github-mcp-server repo.
---
MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
### Features
- **Automatic Branch Creation**: When creating/updating files or pushing changes, branches are automatically created if they don't exist
- **Comprehensive Error Handling**: Clear error messages for common issues
- **Git History Preservation**: Operations maintain proper Git history without force pushing
- **Batch Operations**: Support for both single-file and multi-file operations
- **Advanced Search**: Support for searching code, issues/PRs, and users
## Tools
1. `create_or_update_file`
- Create or update a single file in a repository
- Inputs:
- `owner` (string): Repository owner (username or organization)
- `repo` (string): Repository name
- `path` (string): Path where to create/update the file
- `content` (string): Content of the file
- `message` (string): Commit message
- `branch` (string): Branch to create/update the file in
- `sha` (optional string): SHA of file being replaced (for updates)
- Returns: File content and commit details
2. `push_files`
- Push multiple files in a single commit
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `branch` (string): Branch to push to
- `files` (array): Files to push, each with `path` and `content`
- `message` (string): Commit message
- Returns: Updated branch reference
3. `search_repositories`
- Search for GitHub repositories
- Inputs:
- `query` (string): Search query
- `page` (optional number): Page number for pagination
- `perPage` (optional number): Results per page (max 100)
- Returns: Repository search results
4. `create_repository`
- Create a new GitHub repository
- Inputs:
- `name` (string): Repository name
- `description` (optional string): Repository description
- `private` (optional boolean): Whether repo should be private
- `autoInit` (optional boolean): Initialize with README
- Returns: Created repository details
5. `get_file_contents`
- Get contents of a file or directory
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `path` (string): Path to file/directory
- `branch` (optional string): Branch to get contents from
- Returns: File/directory contents
6. `create_issue`
- Create a new issue
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `title` (string): Issue title
- `body` (optional string): Issue description
- `assignees` (optional string[]): Usernames to assign
- `labels` (optional string[]): Labels to add
- `milestone` (optional number): Milestone number
- Returns: Created issue details
7. `create_pull_request`
- Create a new pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `title` (string): PR title
- `body` (optional string): PR description
- `head` (string): Branch containing changes
- `base` (string): Branch to merge into
- `draft` (optional boolean): Create as draft PR
- `maintainer_can_modify` (optional boolean): Allow maintainer edits
- Returns: Created pull request details
8. `fork_repository`
- Fork a repository
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `organization` (optional string): Organization to fork to
- Returns: Forked repository details
9. `create_branch`
- Create a new branch
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `branch` (string): Name for new branch
- `from_branch` (optional string): Source branch (defaults to repo default)
- Returns: Created branch reference
10. `list_issues`
- List and filter repository issues
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `state` (optional string): Filter by state ('open', 'closed', 'all')
- `labels` (optional string[]): Filter by labels
- `sort` (optional string): Sort by ('created', 'updated', 'comments')
- `direction` (optional string): Sort direction ('asc', 'desc')
- `since` (optional string): Filter by date (ISO 8601 timestamp)
- `page` (optional number): Page number
- `per_page` (optional number): Results per page
- Returns: Array of issue details
11. `update_issue`
- Update an existing issue
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `issue_number` (number): Issue number to update
- `title` (optional string): New title
- `body` (optional string): New description
- `state` (optional string): New state ('open' or 'closed')
- `labels` (optional string[]): New labels
- `assignees` (optional string[]): New assignees
- `milestone` (optional number): New milestone number
- Returns: Updated issue details
12. `add_issue_comment`
- Add a comment to an issue
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `issue_number` (number): Issue number to comment on
- `body` (string): Comment text
- Returns: Created comment details
13. `search_code`
- Search for code across GitHub repositories
- Inputs:
- `q` (string): Search query using GitHub code search syntax
- `sort` (optional string): Sort field ('indexed' only)
- `order` (optional string): Sort order ('asc' or 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: Code search results with repository context
14. `search_issues`
- Search for issues and pull requests
- Inputs:
- `q` (string): Search query using GitHub issues search syntax
- `sort` (optional string): Sort field (comments, reactions, created, etc.)
- `order` (optional string): Sort order ('asc' or 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: Issue and pull request search results
15. `search_users`
- Search for GitHub users
- Inputs:
- `q` (string): Search query using GitHub users search syntax
- `sort` (optional string): Sort field (followers, repositories, joined)
- `order` (optional string): Sort order ('asc' or 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: User search results
16. `list_commits`
- Gets commits of a branch in a repository
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `page` (optional string): page number
- `per_page` (optional string): number of record per page
- `sha` (optional string): branch name
- Returns: List of commits
17. `get_issue`
- Gets the contents of an issue within a repository
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `issue_number` (number): Issue number to retrieve
- Returns: Github Issue object & details
18. `get_pull_request`
- Get details of a specific pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Pull request details including diff and review status
19. `list_pull_requests`
- List and filter repository pull requests
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `state` (optional string): Filter by state ('open', 'closed', 'all')
- `head` (optional string): Filter by head user/org and branch
- `base` (optional string): Filter by base branch
- `sort` (optional string): Sort by ('created', 'updated', 'popularity', 'long-running')
- `direction` (optional string): Sort direction ('asc', 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: Array of pull request details
20. `create_pull_request_review`
- Create a review on a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- `body` (string): Review comment text
- `event` (string): Review action ('APPROVE', 'REQUEST_CHANGES', 'COMMENT')
- `commit_id` (optional string): SHA of commit to review
- `comments` (optional array): Line-specific comments, each with:
- `path` (string): File path
- `position` (number): Line position in diff
- `body` (string): Comment text
- Returns: Created review details
21. `merge_pull_request`
- Merge a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- `commit_title` (optional string): Title for merge commit
- `commit_message` (optional string): Extra detail for merge commit
- `merge_method` (optional string): Merge method ('merge', 'squash', 'rebase')
- Returns: Merge result details
22. `get_pull_request_files`
- Get the list of files changed in a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Array of changed files with patch and status details
23. `get_pull_request_status`
- Get the combined status of all status checks for a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Combined status check results and individual check details
24. `update_pull_request_branch`
- Update a pull request branch with the latest changes from the base branch (equivalent to GitHub's "Update branch" button)
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- `expected_head_sha` (optional string): The expected SHA of the pull request's HEAD ref
- Returns: Success message when branch is updated
25. `get_pull_request_comments`
- Get the review comments on a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Array of pull request review comments with details like the comment text, author, and location in the diff
26. `get_pull_request_reviews`
- Get the reviews on a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Array of pull request reviews with details like the review state (APPROVED, CHANGES_REQUESTED, etc.), reviewer, and review body
## Search Query Syntax
### Code Search
- `language:javascript`: Search by programming language
- `repo:owner/name`: Search in specific repository
- `path:app/src`: Search in specific path
- `extension:js`: Search by file extension
- Example: `q: "import express" language:typescript path:src/`
### Issues Search
- `is:issue` or `is:pr`: Filter by type
- `is:open` or `is:closed`: Filter by state
- `label:bug`: Search by label
- `author:username`: Search by author
- Example: `q: "memory leak" is:issue is:open label:bug`
### Users Search
- `type:user` or `type:org`: Filter by account type
- `followers:>1000`: Filter by followers
- `location:London`: Search by location
- Example: `q: "fullstack developer" location:London followers:>100`
For detailed search syntax, see [GitHub's searching documentation](https://docs.github.com/en/search-github/searching-on-github).
## Setup
### Personal Access Token
[Create a GitHub Personal Access Token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens) with appropriate permissions:
- Go to [Personal access tokens](https://github.com/settings/tokens) (in GitHub Settings > Developer settings)
- Select which repositories you'd like this token to have access to (Public, All, or Select)
- Create a token with the `repo` scope ("Full control of private repositories")
- Alternatively, if working only with public repositories, select only the `public_repo` scope
- Copy the generated token
### Usage with Claude Desktop
To use this with Claude Desktop, add the following to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"mcp/github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
```
#### NPX
```json
{
"mcpServers": {
"github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
```
### Usage with VS Code
For quick installation, use one of the installation buttons below:
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=github&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22github_token%22%2C%22description%22%3A%22GitHub%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-github%22%5D%2C%22env%22%3A%7B%22GITHUB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agithub_token%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=github&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22github_token%22%2C%22description%22%3A%22GitHub%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-github%22%5D%2C%22env%22%3A%7B%22GITHUB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agithub_token%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=github&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22github_token%22%2C%22description%22%3A%22GitHub%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fgithub%22%5D%2C%22env%22%3A%7B%22GITHUB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agithub_token%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=github&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22github_token%22%2C%22description%22%3A%22GitHub%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fgithub%22%5D%2C%22env%22%3A%7B%22GITHUB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agithub_token%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
#### Docker
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "github_token",
"description": "GitHub Personal Access Token",
"password": true
}
],
"servers": {
"github": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/github"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${input:github_token}"
}
}
}
}
}
```
#### NPX
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "github_token",
"description": "GitHub Personal Access Token",
"password": true
}
],
"servers": {
"github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${input:github_token}"
}
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/github -f src/github/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

89
src/github/common/errors.ts
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@@ -1,89 +0,0 @@
export class GitHubError extends Error {
constructor(
message: string,
public readonly status: number,
public readonly response: unknown
) {
super(message);
this.name = "GitHubError";
}
}
export class GitHubValidationError extends GitHubError {
constructor(message: string, status: number, response: unknown) {
super(message, status, response);
this.name = "GitHubValidationError";
}
}
export class GitHubResourceNotFoundError extends GitHubError {
constructor(resource: string) {
super(`Resource not found: ${resource}`, 404, { message: `${resource} not found` });
this.name = "GitHubResourceNotFoundError";
}
}
export class GitHubAuthenticationError extends GitHubError {
constructor(message = "Authentication failed") {
super(message, 401, { message });
this.name = "GitHubAuthenticationError";
}
}
export class GitHubPermissionError extends GitHubError {
constructor(message = "Insufficient permissions") {
super(message, 403, { message });
this.name = "GitHubPermissionError";
}
}
export class GitHubRateLimitError extends GitHubError {
constructor(
message = "Rate limit exceeded",
public readonly resetAt: Date
) {
super(message, 429, { message, reset_at: resetAt.toISOString() });
this.name = "GitHubRateLimitError";
}
}
export class GitHubConflictError extends GitHubError {
constructor(message: string) {
super(message, 409, { message });
this.name = "GitHubConflictError";
}
}
export function isGitHubError(error: unknown): error is GitHubError {
return error instanceof GitHubError;
}
export function createGitHubError(status: number, response: any): GitHubError {
switch (status) {
case 401:
return new GitHubAuthenticationError(response?.message);
case 403:
return new GitHubPermissionError(response?.message);
case 404:
return new GitHubResourceNotFoundError(response?.message || "Resource");
case 409:
return new GitHubConflictError(response?.message || "Conflict occurred");
case 422:
return new GitHubValidationError(
response?.message || "Validation failed",
status,
response
);
case 429:
return new GitHubRateLimitError(
response?.message,
new Date(response?.reset_at || Date.now() + 60000)
);
default:
return new GitHubError(
response?.message || "GitHub API error",
status,
response
);
}
}

259
src/github/common/types.ts
View File

@@ -1,259 +0,0 @@
import { z } from "zod";
// Base schemas for common types
export const GitHubAuthorSchema = z.object({
name: z.string(),
email: z.string(),
date: z.string(),
});
export const GitHubOwnerSchema = z.object({
login: z.string(),
id: z.number(),
node_id: z.string(),
avatar_url: z.string(),
url: z.string(),
html_url: z.string(),
type: z.string(),
});
export const GitHubRepositorySchema = z.object({
id: z.number(),
node_id: z.string(),
name: z.string(),
full_name: z.string(),
private: z.boolean(),
owner: GitHubOwnerSchema,
html_url: z.string(),
description: z.string().nullable(),
fork: z.boolean(),
url: z.string(),
created_at: z.string(),
updated_at: z.string(),
pushed_at: z.string(),
git_url: z.string(),
ssh_url: z.string(),
clone_url: z.string(),
default_branch: z.string(),
});
export const GithubFileContentLinks = z.object({
self: z.string(),
git: z.string().nullable(),
html: z.string().nullable()
});
export const GitHubFileContentSchema = z.object({
name: z.string(),
path: z.string(),
sha: z.string(),
size: z.number(),
url: z.string(),
html_url: z.string(),
git_url: z.string(),
download_url: z.string(),
type: z.string(),
content: z.string().optional(),
encoding: z.string().optional(),
_links: GithubFileContentLinks
});
export const GitHubDirectoryContentSchema = z.object({
type: z.string(),
size: z.number(),
name: z.string(),
path: z.string(),
sha: z.string(),
url: z.string(),
git_url: z.string(),
html_url: z.string(),
download_url: z.string().nullable(),
});
export const GitHubContentSchema = z.union([
GitHubFileContentSchema,
z.array(GitHubDirectoryContentSchema),
]);
export const GitHubTreeEntrySchema = z.object({
path: z.string(),
mode: z.enum(["100644", "100755", "040000", "160000", "120000"]),
type: z.enum(["blob", "tree", "commit"]),
size: z.number().optional(),
sha: z.string(),
url: z.string(),
});
export const GitHubTreeSchema = z.object({
sha: z.string(),
url: z.string(),
tree: z.array(GitHubTreeEntrySchema),
truncated: z.boolean(),
});
export const GitHubCommitSchema = z.object({
sha: z.string(),
node_id: z.string(),
url: z.string(),
author: GitHubAuthorSchema,
committer: GitHubAuthorSchema,
message: z.string(),
tree: z.object({
sha: z.string(),
url: z.string(),
}),
parents: z.array(
z.object({
sha: z.string(),
url: z.string(),
})
),
});
export const GitHubListCommitsSchema = z.array(z.object({
sha: z.string(),
node_id: z.string(),
commit: z.object({
author: GitHubAuthorSchema,
committer: GitHubAuthorSchema,
message: z.string(),
tree: z.object({
sha: z.string(),
url: z.string()
}),
url: z.string(),
comment_count: z.number(),
}),
url: z.string(),
html_url: z.string(),
comments_url: z.string()
}));
export const GitHubReferenceSchema = z.object({
ref: z.string(),
node_id: z.string(),
url: z.string(),
object: z.object({
sha: z.string(),
type: z.string(),
url: z.string(),
}),
});
// User and assignee schemas
export const GitHubIssueAssigneeSchema = z.object({
login: z.string(),
id: z.number(),
avatar_url: z.string(),
url: z.string(),
html_url: z.string(),
});
// Issue-related schemas
export const GitHubLabelSchema = z.object({
id: z.number(),
node_id: z.string(),
url: z.string(),
name: z.string(),
color: z.string(),
default: z.boolean(),
description: z.string().nullable().optional(),
});
export const GitHubMilestoneSchema = z.object({
url: z.string(),
html_url: z.string(),
labels_url: z.string(),
id: z.number(),
node_id: z.string(),
number: z.number(),
title: z.string(),
description: z.string(),
state: z.string(),
});
export const GitHubIssueSchema = z.object({
url: z.string(),
repository_url: z.string(),
labels_url: z.string(),
comments_url: z.string(),
events_url: z.string(),
html_url: z.string(),
id: z.number(),
node_id: z.string(),
number: z.number(),
title: z.string(),
user: GitHubIssueAssigneeSchema,
labels: z.array(GitHubLabelSchema),
state: z.string(),
locked: z.boolean(),
assignee: GitHubIssueAssigneeSchema.nullable(),
assignees: z.array(GitHubIssueAssigneeSchema),
milestone: GitHubMilestoneSchema.nullable(),
comments: z.number(),
created_at: z.string(),
updated_at: z.string(),
closed_at: z.string().nullable(),
body: z.string().nullable(),
});
// Search-related schemas
export const GitHubSearchResponseSchema = z.object({
total_count: z.number(),
incomplete_results: z.boolean(),
items: z.array(GitHubRepositorySchema),
});
// Pull request schemas
export const GitHubPullRequestRefSchema = z.object({
label: z.string(),
ref: z.string(),
sha: z.string(),
user: GitHubIssueAssigneeSchema,
repo: GitHubRepositorySchema,
});
export const GitHubPullRequestSchema = z.object({
url: z.string(),
id: z.number(),
node_id: z.string(),
html_url: z.string(),
diff_url: z.string(),
patch_url: z.string(),
issue_url: z.string(),
number: z.number(),
state: z.string(),
locked: z.boolean(),
title: z.string(),
user: GitHubIssueAssigneeSchema,
body: z.string().nullable(),
created_at: z.string(),
updated_at: z.string(),
closed_at: z.string().nullable(),
merged_at: z.string().nullable(),
merge_commit_sha: z.string().nullable(),
assignee: GitHubIssueAssigneeSchema.nullable(),
assignees: z.array(GitHubIssueAssigneeSchema),
requested_reviewers: z.array(GitHubIssueAssigneeSchema),
labels: z.array(GitHubLabelSchema),
head: GitHubPullRequestRefSchema,
base: GitHubPullRequestRefSchema,
});
// Export types
export type GitHubAuthor = z.infer<typeof GitHubAuthorSchema>;
export type GitHubRepository = z.infer<typeof GitHubRepositorySchema>;
export type GitHubFileContent = z.infer<typeof GitHubFileContentSchema>;
export type GitHubDirectoryContent = z.infer<typeof GitHubDirectoryContentSchema>;
export type GitHubContent = z.infer<typeof GitHubContentSchema>;
export type GitHubTree = z.infer<typeof GitHubTreeSchema>;
export type GitHubCommit = z.infer<typeof GitHubCommitSchema>;
export type GitHubListCommits = z.infer<typeof GitHubListCommitsSchema>;
export type GitHubReference = z.infer<typeof GitHubReferenceSchema>;
export type GitHubIssueAssignee = z.infer<typeof GitHubIssueAssigneeSchema>;
export type GitHubLabel = z.infer<typeof GitHubLabelSchema>;
export type GitHubMilestone = z.infer<typeof GitHubMilestoneSchema>;
export type GitHubIssue = z.infer<typeof GitHubIssueSchema>;
export type GitHubSearchResponse = z.infer<typeof GitHubSearchResponseSchema>;
export type GitHubPullRequest = z.infer<typeof GitHubPullRequestSchema>;
export type GitHubPullRequestRef = z.infer<typeof GitHubPullRequestRefSchema>;

138
src/github/common/utils.ts
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@@ -1,138 +0,0 @@
import { getUserAgent } from "universal-user-agent";
import { createGitHubError } from "./errors.js";
import { VERSION } from "./version.js";
type RequestOptions = {
method?: string;
body?: unknown;
headers?: Record<string, string>;
}
async function parseResponseBody(response: Response): Promise<unknown> {
const contentType = response.headers.get("content-type");
if (contentType?.includes("application/json")) {
return response.json();
}
return response.text();
}
export function buildUrl(baseUrl: string, params: Record<string, string | number | undefined>): string {
const url = new URL(baseUrl);
Object.entries(params).forEach(([key, value]) => {
if (value !== undefined) {
url.searchParams.append(key, value.toString());
}
});
return url.toString();
}
const USER_AGENT = `modelcontextprotocol/servers/github/v${VERSION} ${getUserAgent()}`;
export async function githubRequest(
url: string,
options: RequestOptions = {}
): Promise<unknown> {
const headers: Record<string, string> = {
"Accept": "application/vnd.github.v3+json",
"Content-Type": "application/json",
"User-Agent": USER_AGENT,
...options.headers,
};
if (process.env.GITHUB_PERSONAL_ACCESS_TOKEN) {
headers["Authorization"] = `Bearer ${process.env.GITHUB_PERSONAL_ACCESS_TOKEN}`;
}
const response = await fetch(url, {
method: options.method || "GET",
headers,
body: options.body ? JSON.stringify(options.body) : undefined,
});
const responseBody = await parseResponseBody(response);
if (!response.ok) {
throw createGitHubError(response.status, responseBody);
}
return responseBody;
}
export function validateBranchName(branch: string): string {
const sanitized = branch.trim();
if (!sanitized) {
throw new Error("Branch name cannot be empty");
}
if (sanitized.includes("..")) {
throw new Error("Branch name cannot contain '..'");
}
if (/[\s~^:?*[\\\]]/.test(sanitized)) {
throw new Error("Branch name contains invalid characters");
}
if (sanitized.startsWith("/") || sanitized.endsWith("/")) {
throw new Error("Branch name cannot start or end with '/'");
}
if (sanitized.endsWith(".lock")) {
throw new Error("Branch name cannot end with '.lock'");
}
return sanitized;
}
export function validateRepositoryName(name: string): string {
const sanitized = name.trim().toLowerCase();
if (!sanitized) {
throw new Error("Repository name cannot be empty");
}
if (!/^[a-z0-9_.-]+$/.test(sanitized)) {
throw new Error(
"Repository name can only contain lowercase letters, numbers, hyphens, periods, and underscores"
);
}
if (sanitized.startsWith(".") || sanitized.endsWith(".")) {
throw new Error("Repository name cannot start or end with a period");
}
return sanitized;
}
export function validateOwnerName(owner: string): string {
const sanitized = owner.trim().toLowerCase();
if (!sanitized) {
throw new Error("Owner name cannot be empty");
}
if (!/^[a-z0-9](?:[a-z0-9]|-(?=[a-z0-9])){0,38}$/.test(sanitized)) {
throw new Error(
"Owner name must start with a letter or number and can contain up to 39 characters"
);
}
return sanitized;
}
export async function checkBranchExists(
owner: string,
repo: string,
branch: string
): Promise<boolean> {
try {
await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/branches/${branch}`
);
return true;
} catch (error) {
if (error && typeof error === "object" && "status" in error && error.status === 404) {
return false;
}
throw error;
}
}
export async function checkUserExists(username: string): Promise<boolean> {
try {
await githubRequest(`https://api.github.com/users/${username}`);
return true;
} catch (error) {
if (error && typeof error === "object" && "status" in error && error.status === 404) {
return false;
}
throw error;
}
}

3
src/github/common/version.ts
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@@ -1,3 +0,0 @@
// If the format of this file changes, so it doesn't simply export a VERSION constant,
// this will break .github/workflows/version-check.yml.
export const VERSION = "0.6.2";

517
src/github/index.ts
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@@ -1,517 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { z } from 'zod';
import { zodToJsonSchema } from 'zod-to-json-schema';
import fetch, { Request, Response } from 'node-fetch';
import * as repository from './operations/repository.js';
import * as files from './operations/files.js';
import * as issues from './operations/issues.js';
import * as pulls from './operations/pulls.js';
import * as branches from './operations/branches.js';
import * as search from './operations/search.js';
import * as commits from './operations/commits.js';
import {
GitHubError,
GitHubValidationError,
GitHubResourceNotFoundError,
GitHubAuthenticationError,
GitHubPermissionError,
GitHubRateLimitError,
GitHubConflictError,
isGitHubError,
} from './common/errors.js';
import { VERSION } from "./common/version.js";
// If fetch doesn't exist in global scope, add it
if (!globalThis.fetch) {
globalThis.fetch = fetch as unknown as typeof global.fetch;
}
const server = new Server(
{
name: "github-mcp-server",
version: VERSION,
},
{
capabilities: {
tools: {},
},
}
);
function formatGitHubError(error: GitHubError): string {
let message = `GitHub API Error: ${error.message}`;
if (error instanceof GitHubValidationError) {
message = `Validation Error: ${error.message}`;
if (error.response) {
message += `\nDetails: ${JSON.stringify(error.response)}`;
}
} else if (error instanceof GitHubResourceNotFoundError) {
message = `Not Found: ${error.message}`;
} else if (error instanceof GitHubAuthenticationError) {
message = `Authentication Failed: ${error.message}`;
} else if (error instanceof GitHubPermissionError) {
message = `Permission Denied: ${error.message}`;
} else if (error instanceof GitHubRateLimitError) {
message = `Rate Limit Exceeded: ${error.message}\nResets at: ${error.resetAt.toISOString()}`;
} else if (error instanceof GitHubConflictError) {
message = `Conflict: ${error.message}`;
}
return message;
}
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: "create_or_update_file",
description: "Create or update a single file in a GitHub repository",
inputSchema: zodToJsonSchema(files.CreateOrUpdateFileSchema),
},
{
name: "search_repositories",
description: "Search for GitHub repositories",
inputSchema: zodToJsonSchema(repository.SearchRepositoriesSchema),
},
{
name: "create_repository",
description: "Create a new GitHub repository in your account",
inputSchema: zodToJsonSchema(repository.CreateRepositoryOptionsSchema),
},
{
name: "get_file_contents",
description: "Get the contents of a file or directory from a GitHub repository",
inputSchema: zodToJsonSchema(files.GetFileContentsSchema),
},
{
name: "push_files",
description: "Push multiple files to a GitHub repository in a single commit",
inputSchema: zodToJsonSchema(files.PushFilesSchema),
},
{
name: "create_issue",
description: "Create a new issue in a GitHub repository",
inputSchema: zodToJsonSchema(issues.CreateIssueSchema),
},
{
name: "create_pull_request",
description: "Create a new pull request in a GitHub repository",
inputSchema: zodToJsonSchema(pulls.CreatePullRequestSchema),
},
{
name: "fork_repository",
description: "Fork a GitHub repository to your account or specified organization",
inputSchema: zodToJsonSchema(repository.ForkRepositorySchema),
},
{
name: "create_branch",
description: "Create a new branch in a GitHub repository",
inputSchema: zodToJsonSchema(branches.CreateBranchSchema),
},
{
name: "list_commits",
description: "Get list of commits of a branch in a GitHub repository",
inputSchema: zodToJsonSchema(commits.ListCommitsSchema)
},
{
name: "list_issues",
description: "List issues in a GitHub repository with filtering options",
inputSchema: zodToJsonSchema(issues.ListIssuesOptionsSchema)
},
{
name: "update_issue",
description: "Update an existing issue in a GitHub repository",
inputSchema: zodToJsonSchema(issues.UpdateIssueOptionsSchema)
},
{
name: "add_issue_comment",
description: "Add a comment to an existing issue",
inputSchema: zodToJsonSchema(issues.IssueCommentSchema)
},
{
name: "search_code",
description: "Search for code across GitHub repositories",
inputSchema: zodToJsonSchema(search.SearchCodeSchema),
},
{
name: "search_issues",
description: "Search for issues and pull requests across GitHub repositories",
inputSchema: zodToJsonSchema(search.SearchIssuesSchema),
},
{
name: "search_users",
description: "Search for users on GitHub",
inputSchema: zodToJsonSchema(search.SearchUsersSchema),
},
{
name: "get_issue",
description: "Get details of a specific issue in a GitHub repository.",
inputSchema: zodToJsonSchema(issues.GetIssueSchema)
},
{
name: "get_pull_request",
description: "Get details of a specific pull request",
inputSchema: zodToJsonSchema(pulls.GetPullRequestSchema)
},
{
name: "list_pull_requests",
description: "List and filter repository pull requests",
inputSchema: zodToJsonSchema(pulls.ListPullRequestsSchema)
},
{
name: "create_pull_request_review",
description: "Create a review on a pull request",
inputSchema: zodToJsonSchema(pulls.CreatePullRequestReviewSchema)
},
{
name: "merge_pull_request",
description: "Merge a pull request",
inputSchema: zodToJsonSchema(pulls.MergePullRequestSchema)
},
{
name: "get_pull_request_files",
description: "Get the list of files changed in a pull request",
inputSchema: zodToJsonSchema(pulls.GetPullRequestFilesSchema)
},
{
name: "get_pull_request_status",
description: "Get the combined status of all status checks for a pull request",
inputSchema: zodToJsonSchema(pulls.GetPullRequestStatusSchema)
},
{
name: "update_pull_request_branch",
description: "Update a pull request branch with the latest changes from the base branch",
inputSchema: zodToJsonSchema(pulls.UpdatePullRequestBranchSchema)
},
{
name: "get_pull_request_comments",
description: "Get the review comments on a pull request",
inputSchema: zodToJsonSchema(pulls.GetPullRequestCommentsSchema)
},
{
name: "get_pull_request_reviews",
description: "Get the reviews on a pull request",
inputSchema: zodToJsonSchema(pulls.GetPullRequestReviewsSchema)
}
],
};
});
server.setRequestHandler(CallToolRequestSchema, async (request) => {
try {
if (!request.params.arguments) {
throw new Error("Arguments are required");
}
switch (request.params.name) {
case "fork_repository": {
const args = repository.ForkRepositorySchema.parse(request.params.arguments);
const fork = await repository.forkRepository(args.owner, args.repo, args.organization);
return {
content: [{ type: "text", text: JSON.stringify(fork, null, 2) }],
};
}
case "create_branch": {
const args = branches.CreateBranchSchema.parse(request.params.arguments);
const branch = await branches.createBranchFromRef(
args.owner,
args.repo,
args.branch,
args.from_branch
);
return {
content: [{ type: "text", text: JSON.stringify(branch, null, 2) }],
};
}
case "search_repositories": {
const args = repository.SearchRepositoriesSchema.parse(request.params.arguments);
const results = await repository.searchRepositories(
args.query,
args.page,
args.perPage
);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "create_repository": {
const args = repository.CreateRepositoryOptionsSchema.parse(request.params.arguments);
const result = await repository.createRepository(args);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "get_file_contents": {
const args = files.GetFileContentsSchema.parse(request.params.arguments);
const contents = await files.getFileContents(
args.owner,
args.repo,
args.path,
args.branch
);
return {
content: [{ type: "text", text: JSON.stringify(contents, null, 2) }],
};
}
case "create_or_update_file": {
const args = files.CreateOrUpdateFileSchema.parse(request.params.arguments);
const result = await files.createOrUpdateFile(
args.owner,
args.repo,
args.path,
args.content,
args.message,
args.branch,
args.sha
);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "push_files": {
const args = files.PushFilesSchema.parse(request.params.arguments);
const result = await files.pushFiles(
args.owner,
args.repo,
args.branch,
args.files,
args.message
);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "create_issue": {
const args = issues.CreateIssueSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
try {
console.error(`[DEBUG] Attempting to create issue in ${owner}/${repo}`);
console.error(`[DEBUG] Issue options:`, JSON.stringify(options, null, 2));
const issue = await issues.createIssue(owner, repo, options);
console.error(`[DEBUG] Issue created successfully`);
return {
content: [{ type: "text", text: JSON.stringify(issue, null, 2) }],
};
} catch (err) {
// Type guard for Error objects
const error = err instanceof Error ? err : new Error(String(err));
console.error(`[ERROR] Failed to create issue:`, error);
if (error instanceof GitHubResourceNotFoundError) {
throw new Error(
`Repository '${owner}/${repo}' not found. Please verify:\n` +
`1. The repository exists\n` +
`2. You have correct access permissions\n` +
`3. The owner and repository names are spelled correctly`
);
}
// Safely access error properties
throw new Error(
`Failed to create issue: ${error.message}${
error.stack ? `\nStack: ${error.stack}` : ''
}`
);
}
}
case "create_pull_request": {
const args = pulls.CreatePullRequestSchema.parse(request.params.arguments);
const pullRequest = await pulls.createPullRequest(args);
return {
content: [{ type: "text", text: JSON.stringify(pullRequest, null, 2) }],
};
}
case "search_code": {
const args = search.SearchCodeSchema.parse(request.params.arguments);
const results = await search.searchCode(args);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "search_issues": {
const args = search.SearchIssuesSchema.parse(request.params.arguments);
const results = await search.searchIssues(args);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "search_users": {
const args = search.SearchUsersSchema.parse(request.params.arguments);
const results = await search.searchUsers(args);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "list_issues": {
const args = issues.ListIssuesOptionsSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
const result = await issues.listIssues(owner, repo, options);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "update_issue": {
const args = issues.UpdateIssueOptionsSchema.parse(request.params.arguments);
const { owner, repo, issue_number, ...options } = args;
const result = await issues.updateIssue(owner, repo, issue_number, options);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "add_issue_comment": {
const args = issues.IssueCommentSchema.parse(request.params.arguments);
const { owner, repo, issue_number, body } = args;
const result = await issues.addIssueComment(owner, repo, issue_number, body);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "list_commits": {
const args = commits.ListCommitsSchema.parse(request.params.arguments);
const results = await commits.listCommits(
args.owner,
args.repo,
args.page,
args.perPage,
args.sha
);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
case "get_issue": {
const args = issues.GetIssueSchema.parse(request.params.arguments);
const issue = await issues.getIssue(args.owner, args.repo, args.issue_number);
return {
content: [{ type: "text", text: JSON.stringify(issue, null, 2) }],
};
}
case "get_pull_request": {
const args = pulls.GetPullRequestSchema.parse(request.params.arguments);
const pullRequest = await pulls.getPullRequest(args.owner, args.repo, args.pull_number);
return {
content: [{ type: "text", text: JSON.stringify(pullRequest, null, 2) }],
};
}
case "list_pull_requests": {
const args = pulls.ListPullRequestsSchema.parse(request.params.arguments);
const { owner, repo, ...options } = args;
const pullRequests = await pulls.listPullRequests(owner, repo, options);
return {
content: [{ type: "text", text: JSON.stringify(pullRequests, null, 2) }],
};
}
case "create_pull_request_review": {
const args = pulls.CreatePullRequestReviewSchema.parse(request.params.arguments);
const { owner, repo, pull_number, ...options } = args;
const review = await pulls.createPullRequestReview(owner, repo, pull_number, options);
return {
content: [{ type: "text", text: JSON.stringify(review, null, 2) }],
};
}
case "merge_pull_request": {
const args = pulls.MergePullRequestSchema.parse(request.params.arguments);
const { owner, repo, pull_number, ...options } = args;
const result = await pulls.mergePullRequest(owner, repo, pull_number, options);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
case "get_pull_request_files": {
const args = pulls.GetPullRequestFilesSchema.parse(request.params.arguments);
const files = await pulls.getPullRequestFiles(args.owner, args.repo, args.pull_number);
return {
content: [{ type: "text", text: JSON.stringify(files, null, 2) }],
};
}
case "get_pull_request_status": {
const args = pulls.GetPullRequestStatusSchema.parse(request.params.arguments);
const status = await pulls.getPullRequestStatus(args.owner, args.repo, args.pull_number);
return {
content: [{ type: "text", text: JSON.stringify(status, null, 2) }],
};
}
case "update_pull_request_branch": {
const args = pulls.UpdatePullRequestBranchSchema.parse(request.params.arguments);
const { owner, repo, pull_number, expected_head_sha } = args;
await pulls.updatePullRequestBranch(owner, repo, pull_number, expected_head_sha);
return {
content: [{ type: "text", text: JSON.stringify({ success: true }, null, 2) }],
};
}
case "get_pull_request_comments": {
const args = pulls.GetPullRequestCommentsSchema.parse(request.params.arguments);
const comments = await pulls.getPullRequestComments(args.owner, args.repo, args.pull_number);
return {
content: [{ type: "text", text: JSON.stringify(comments, null, 2) }],
};
}
case "get_pull_request_reviews": {
const args = pulls.GetPullRequestReviewsSchema.parse(request.params.arguments);
const reviews = await pulls.getPullRequestReviews(args.owner, args.repo, args.pull_number);
return {
content: [{ type: "text", text: JSON.stringify(reviews, null, 2) }],
};
}
default:
throw new Error(`Unknown tool: ${request.params.name}`);
}
} catch (error) {
if (error instanceof z.ZodError) {
throw new Error(`Invalid input: ${JSON.stringify(error.errors)}`);
}
if (isGitHubError(error)) {
throw new Error(formatGitHubError(error));
}
throw error;
}
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("GitHub MCP Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error in main():", error);
process.exit(1);
});

112
src/github/operations/branches.ts
View File

@@ -1,112 +0,0 @@
import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import { GitHubReferenceSchema } from "../common/types.js";
// Schema definitions
export const CreateBranchOptionsSchema = z.object({
ref: z.string(),
sha: z.string(),
});
export const CreateBranchSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
branch: z.string().describe("Name for the new branch"),
from_branch: z.string().optional().describe("Optional: source branch to create from (defaults to the repository's default branch)"),
});
// Type exports
export type CreateBranchOptions = z.infer<typeof CreateBranchOptionsSchema>;
// Function implementations
export async function getDefaultBranchSHA(owner: string, repo: string): Promise<string> {
try {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs/heads/main`
);
const data = GitHubReferenceSchema.parse(response);
return data.object.sha;
} catch (error) {
const masterResponse = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs/heads/master`
);
if (!masterResponse) {
throw new Error("Could not find default branch (tried 'main' and 'master')");
}
const data = GitHubReferenceSchema.parse(masterResponse);
return data.object.sha;
}
}
export async function createBranch(
owner: string,
repo: string,
options: CreateBranchOptions
): Promise<z.infer<typeof GitHubReferenceSchema>> {
const fullRef = `refs/heads/${options.ref}`;
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs`,
{
method: "POST",
body: {
ref: fullRef,
sha: options.sha,
},
}
);
return GitHubReferenceSchema.parse(response);
}
export async function getBranchSHA(
owner: string,
repo: string,
branch: string
): Promise<string> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs/heads/${branch}`
);
const data = GitHubReferenceSchema.parse(response);
return data.object.sha;
}
export async function createBranchFromRef(
owner: string,
repo: string,
newBranch: string,
fromBranch?: string
): Promise<z.infer<typeof GitHubReferenceSchema>> {
let sha: string;
if (fromBranch) {
sha = await getBranchSHA(owner, repo, fromBranch);
} else {
sha = await getDefaultBranchSHA(owner, repo);
}
return createBranch(owner, repo, {
ref: newBranch,
sha,
});
}
export async function updateBranch(
owner: string,
repo: string,
branch: string,
sha: string
): Promise<z.infer<typeof GitHubReferenceSchema>> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs/heads/${branch}`,
{
method: "PATCH",
body: {
sha,
force: true,
},
}
);
return GitHubReferenceSchema.parse(response);
}

26
src/github/operations/commits.ts
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import { z } from "zod";
import { githubRequest, buildUrl } from "../common/utils.js";
export const ListCommitsSchema = z.object({
owner: z.string(),
repo: z.string(),
sha: z.string().optional(),
page: z.number().optional(),
perPage: z.number().optional()
});
export async function listCommits(
owner: string,
repo: string,
page?: number,
perPage?: number,
sha?: string
) {
return githubRequest(
buildUrl(`https://api.github.com/repos/${owner}/${repo}/commits`, {
page: page?.toString(),
per_page: perPage?.toString(),
sha
})
);
}

219
src/github/operations/files.ts
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import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import {
GitHubContentSchema,
GitHubAuthorSchema,
GitHubTreeSchema,
GitHubCommitSchema,
GitHubReferenceSchema,
GitHubFileContentSchema,
} from "../common/types.js";
// Schema definitions
export const FileOperationSchema = z.object({
path: z.string(),
content: z.string(),
});
export const CreateOrUpdateFileSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
path: z.string().describe("Path where to create/update the file"),
content: z.string().describe("Content of the file"),
message: z.string().describe("Commit message"),
branch: z.string().describe("Branch to create/update the file in"),
sha: z.string().optional().describe("SHA of the file being replaced (required when updating existing files)"),
});
export const GetFileContentsSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
path: z.string().describe("Path to the file or directory"),
branch: z.string().optional().describe("Branch to get contents from"),
});
export const PushFilesSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
branch: z.string().describe("Branch to push to (e.g., 'main' or 'master')"),
files: z.array(FileOperationSchema).describe("Array of files to push"),
message: z.string().describe("Commit message"),
});
export const GitHubCreateUpdateFileResponseSchema = z.object({
content: GitHubFileContentSchema.nullable(),
commit: z.object({
sha: z.string(),
node_id: z.string(),
url: z.string(),
html_url: z.string(),
author: GitHubAuthorSchema,
committer: GitHubAuthorSchema,
message: z.string(),
tree: z.object({
sha: z.string(),
url: z.string(),
}),
parents: z.array(
z.object({
sha: z.string(),
url: z.string(),
html_url: z.string(),
})
),
}),
});
// Type exports
export type FileOperation = z.infer<typeof FileOperationSchema>;
export type GitHubCreateUpdateFileResponse = z.infer<typeof GitHubCreateUpdateFileResponseSchema>;
// Function implementations
export async function getFileContents(
owner: string,
repo: string,
path: string,
branch?: string
) {
let url = `https://api.github.com/repos/${owner}/${repo}/contents/${path}`;
if (branch) {
url += `?ref=${branch}`;
}
const response = await githubRequest(url);
const data = GitHubContentSchema.parse(response);
// If it's a file, decode the content
if (!Array.isArray(data) && data.content) {
data.content = Buffer.from(data.content, "base64").toString("utf8");
}
return data;
}
export async function createOrUpdateFile(
owner: string,
repo: string,
path: string,
content: string,
message: string,
branch: string,
sha?: string
) {
const encodedContent = Buffer.from(content).toString("base64");
let currentSha = sha;
if (!currentSha) {
try {
const existingFile = await getFileContents(owner, repo, path, branch);
if (!Array.isArray(existingFile)) {
currentSha = existingFile.sha;
}
} catch (error) {
console.error("Note: File does not exist in branch, will create new file");
}
}
const url = `https://api.github.com/repos/${owner}/${repo}/contents/${path}`;
const body = {
message,
content: encodedContent,
branch,
...(currentSha ? { sha: currentSha } : {}),
};
const response = await githubRequest(url, {
method: "PUT",
body,
});
return GitHubCreateUpdateFileResponseSchema.parse(response);
}
async function createTree(
owner: string,
repo: string,
files: FileOperation[],
baseTree?: string
) {
const tree = files.map((file) => ({
path: file.path,
mode: "100644" as const,
type: "blob" as const,
content: file.content,
}));
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/trees`,
{
method: "POST",
body: {
tree,
base_tree: baseTree,
},
}
);
return GitHubTreeSchema.parse(response);
}
async function createCommit(
owner: string,
repo: string,
message: string,
tree: string,
parents: string[]
) {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/commits`,
{
method: "POST",
body: {
message,
tree,
parents,
},
}
);
return GitHubCommitSchema.parse(response);
}
async function updateReference(
owner: string,
repo: string,
ref: string,
sha: string
) {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs/${ref}`,
{
method: "PATCH",
body: {
sha,
force: true,
},
}
);
return GitHubReferenceSchema.parse(response);
}
export async function pushFiles(
owner: string,
repo: string,
branch: string,
files: FileOperation[],
message: string
) {
const refResponse = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/git/refs/heads/${branch}`
);
const ref = GitHubReferenceSchema.parse(refResponse);
const commitSha = ref.object.sha;
const tree = await createTree(owner, repo, files, commitSha);
const commit = await createCommit(owner, repo, message, tree.sha, [commitSha]);
return await updateReference(owner, repo, `heads/${branch}`, commit.sha);
}

118
src/github/operations/issues.ts
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import { z } from "zod";
import { githubRequest, buildUrl } from "../common/utils.js";
export const GetIssueSchema = z.object({
owner: z.string(),
repo: z.string(),
issue_number: z.number(),
});
export const IssueCommentSchema = z.object({
owner: z.string(),
repo: z.string(),
issue_number: z.number(),
body: z.string(),
});
export const CreateIssueOptionsSchema = z.object({
title: z.string(),
body: z.string().optional(),
assignees: z.array(z.string()).optional(),
milestone: z.number().optional(),
labels: z.array(z.string()).optional(),
});
export const CreateIssueSchema = z.object({
owner: z.string(),
repo: z.string(),
...CreateIssueOptionsSchema.shape,
});
export const ListIssuesOptionsSchema = z.object({
owner: z.string(),
repo: z.string(),
direction: z.enum(["asc", "desc"]).optional(),
labels: z.array(z.string()).optional(),
page: z.number().optional(),
per_page: z.number().optional(),
since: z.string().optional(),
sort: z.enum(["created", "updated", "comments"]).optional(),
state: z.enum(["open", "closed", "all"]).optional(),
});
export const UpdateIssueOptionsSchema = z.object({
owner: z.string(),
repo: z.string(),
issue_number: z.number(),
title: z.string().optional(),
body: z.string().optional(),
assignees: z.array(z.string()).optional(),
milestone: z.number().optional(),
labels: z.array(z.string()).optional(),
state: z.enum(["open", "closed"]).optional(),
});
export async function getIssue(owner: string, repo: string, issue_number: number) {
return githubRequest(`https://api.github.com/repos/${owner}/${repo}/issues/${issue_number}`);
}
export async function addIssueComment(
owner: string,
repo: string,
issue_number: number,
body: string
) {
return githubRequest(`https://api.github.com/repos/${owner}/${repo}/issues/${issue_number}/comments`, {
method: "POST",
body: { body },
});
}
export async function createIssue(
owner: string,
repo: string,
options: z.infer<typeof CreateIssueOptionsSchema>
) {
return githubRequest(
`https://api.github.com/repos/${owner}/${repo}/issues`,
{
method: "POST",
body: options,
}
);
}
export async function listIssues(
owner: string,
repo: string,
options: Omit<z.infer<typeof ListIssuesOptionsSchema>, "owner" | "repo">
) {
const urlParams: Record<string, string | undefined> = {
direction: options.direction,
labels: options.labels?.join(","),
page: options.page?.toString(),
per_page: options.per_page?.toString(),
since: options.since,
sort: options.sort,
state: options.state
};
return githubRequest(
buildUrl(`https://api.github.com/repos/${owner}/${repo}/issues`, urlParams)
);
}
export async function updateIssue(
owner: string,
repo: string,
issue_number: number,
options: Omit<z.infer<typeof UpdateIssueOptionsSchema>, "owner" | "repo" | "issue_number">
) {
return githubRequest(
`https://api.github.com/repos/${owner}/${repo}/issues/${issue_number}`,
{
method: "PATCH",
body: options,
}
);
}

311
src/github/operations/pulls.ts
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import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import {
GitHubPullRequestSchema,
GitHubIssueAssigneeSchema,
GitHubRepositorySchema,
} from "../common/types.js";
// Schema definitions
export const PullRequestFileSchema = z.object({
sha: z.string(),
filename: z.string(),
status: z.enum(['added', 'removed', 'modified', 'renamed', 'copied', 'changed', 'unchanged']),
additions: z.number(),
deletions: z.number(),
changes: z.number(),
blob_url: z.string(),
raw_url: z.string(),
contents_url: z.string(),
patch: z.string().optional()
});
export const StatusCheckSchema = z.object({
url: z.string(),
state: z.enum(['error', 'failure', 'pending', 'success']),
description: z.string().nullable(),
target_url: z.string().nullable(),
context: z.string(),
created_at: z.string(),
updated_at: z.string()
});
export const CombinedStatusSchema = z.object({
state: z.enum(['error', 'failure', 'pending', 'success']),
statuses: z.array(StatusCheckSchema),
sha: z.string(),
total_count: z.number()
});
export const PullRequestCommentSchema = z.object({
url: z.string(),
id: z.number(),
node_id: z.string(),
pull_request_review_id: z.number().nullable(),
diff_hunk: z.string(),
path: z.string().nullable(),
position: z.number().nullable(),
original_position: z.number().nullable(),
commit_id: z.string(),
original_commit_id: z.string(),
user: GitHubIssueAssigneeSchema,
body: z.string(),
created_at: z.string(),
updated_at: z.string(),
html_url: z.string(),
pull_request_url: z.string(),
author_association: z.string(),
_links: z.object({
self: z.object({ href: z.string() }),
html: z.object({ href: z.string() }),
pull_request: z.object({ href: z.string() })
})
});
export const PullRequestReviewSchema = z.object({
id: z.number(),
node_id: z.string(),
user: GitHubIssueAssigneeSchema,
body: z.string().nullable(),
state: z.enum(['APPROVED', 'CHANGES_REQUESTED', 'COMMENTED', 'DISMISSED', 'PENDING']),
html_url: z.string(),
pull_request_url: z.string(),
commit_id: z.string(),
submitted_at: z.string().nullable(),
author_association: z.string()
});
// Input schemas
export const CreatePullRequestSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
title: z.string().describe("Pull request title"),
body: z.string().optional().describe("Pull request body/description"),
head: z.string().describe("The name of the branch where your changes are implemented"),
base: z.string().describe("The name of the branch you want the changes pulled into"),
draft: z.boolean().optional().describe("Whether to create the pull request as a draft"),
maintainer_can_modify: z.boolean().optional().describe("Whether maintainers can modify the pull request")
});
export const GetPullRequestSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number")
});
export const ListPullRequestsSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
state: z.enum(['open', 'closed', 'all']).optional().describe("State of the pull requests to return"),
head: z.string().optional().describe("Filter by head user or head organization and branch name"),
base: z.string().optional().describe("Filter by base branch name"),
sort: z.enum(['created', 'updated', 'popularity', 'long-running']).optional().describe("What to sort results by"),
direction: z.enum(['asc', 'desc']).optional().describe("The direction of the sort"),
per_page: z.number().optional().describe("Results per page (max 100)"),
page: z.number().optional().describe("Page number of the results")
});
export const CreatePullRequestReviewSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number"),
commit_id: z.string().optional().describe("The SHA of the commit that needs a review"),
body: z.string().describe("The body text of the review"),
event: z.enum(['APPROVE', 'REQUEST_CHANGES', 'COMMENT']).describe("The review action to perform"),
comments: z.array(
z.union([
z.object({
path: z.string().describe("The relative path to the file being commented on"),
position: z.number().describe("The position in the diff where you want to add a review comment"),
body: z.string().describe("Text of the review comment")
}),
z.object({
path: z.string().describe("The relative path to the file being commented on"),
line: z.number().describe("The line number in the file where you want to add a review comment"),
body: z.string().describe("Text of the review comment")
})
])
).optional().describe("Comments to post as part of the review (specify either position or line, not both)")
});
export const MergePullRequestSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number"),
commit_title: z.string().optional().describe("Title for the automatic commit message"),
commit_message: z.string().optional().describe("Extra detail to append to automatic commit message"),
merge_method: z.enum(['merge', 'squash', 'rebase']).optional().describe("Merge method to use")
});
export const GetPullRequestFilesSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number")
});
export const GetPullRequestStatusSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number")
});
export const UpdatePullRequestBranchSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number"),
expected_head_sha: z.string().optional().describe("The expected SHA of the pull request's HEAD ref")
});
export const GetPullRequestCommentsSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number")
});
export const GetPullRequestReviewsSchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
pull_number: z.number().describe("Pull request number")
});
// Function implementations
export async function createPullRequest(
params: z.infer<typeof CreatePullRequestSchema>
): Promise<z.infer<typeof GitHubPullRequestSchema>> {
const { owner, repo, ...options } = CreatePullRequestSchema.parse(params);
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls`,
{
method: "POST",
body: options,
}
);
return GitHubPullRequestSchema.parse(response);
}
export async function getPullRequest(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof GitHubPullRequestSchema>> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}`
);
return GitHubPullRequestSchema.parse(response);
}
export async function listPullRequests(
owner: string,
repo: string,
options: Omit<z.infer<typeof ListPullRequestsSchema>, 'owner' | 'repo'>
): Promise<z.infer<typeof GitHubPullRequestSchema>[]> {
const url = new URL(`https://api.github.com/repos/${owner}/${repo}/pulls`);
if (options.state) url.searchParams.append('state', options.state);
if (options.head) url.searchParams.append('head', options.head);
if (options.base) url.searchParams.append('base', options.base);
if (options.sort) url.searchParams.append('sort', options.sort);
if (options.direction) url.searchParams.append('direction', options.direction);
if (options.per_page) url.searchParams.append('per_page', options.per_page.toString());
if (options.page) url.searchParams.append('page', options.page.toString());
const response = await githubRequest(url.toString());
return z.array(GitHubPullRequestSchema).parse(response);
}
export async function createPullRequestReview(
owner: string,
repo: string,
pullNumber: number,
options: Omit<z.infer<typeof CreatePullRequestReviewSchema>, 'owner' | 'repo' | 'pull_number'>
): Promise<z.infer<typeof PullRequestReviewSchema>> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}/reviews`,
{
method: 'POST',
body: options,
}
);
return PullRequestReviewSchema.parse(response);
}
export async function mergePullRequest(
owner: string,
repo: string,
pullNumber: number,
options: Omit<z.infer<typeof MergePullRequestSchema>, 'owner' | 'repo' | 'pull_number'>
): Promise<any> {
return githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}/merge`,
{
method: 'PUT',
body: options,
}
);
}
export async function getPullRequestFiles(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof PullRequestFileSchema>[]> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}/files`
);
return z.array(PullRequestFileSchema).parse(response);
}
export async function updatePullRequestBranch(
owner: string,
repo: string,
pullNumber: number,
expectedHeadSha?: string
): Promise<void> {
await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}/update-branch`,
{
method: "PUT",
body: expectedHeadSha ? { expected_head_sha: expectedHeadSha } : undefined,
}
);
}
export async function getPullRequestComments(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof PullRequestCommentSchema>[]> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}/comments`
);
return z.array(PullRequestCommentSchema).parse(response);
}
export async function getPullRequestReviews(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof PullRequestReviewSchema>[]> {
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/pulls/${pullNumber}/reviews`
);
return z.array(PullRequestReviewSchema).parse(response);
}
export async function getPullRequestStatus(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof CombinedStatusSchema>> {
// First get the PR to get the head SHA
const pr = await getPullRequest(owner, repo, pullNumber);
const sha = pr.head.sha;
// Then get the combined status for that SHA
const response = await githubRequest(
`https://api.github.com/repos/${owner}/${repo}/commits/${sha}/status`
);
return CombinedStatusSchema.parse(response);
}

65
src/github/operations/repository.ts
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import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import { GitHubRepositorySchema, GitHubSearchResponseSchema } from "../common/types.js";
// Schema definitions
export const CreateRepositoryOptionsSchema = z.object({
name: z.string().describe("Repository name"),
description: z.string().optional().describe("Repository description"),
private: z.boolean().optional().describe("Whether the repository should be private"),
autoInit: z.boolean().optional().describe("Initialize with README.md"),
});
export const SearchRepositoriesSchema = z.object({
query: z.string().describe("Search query (see GitHub search syntax)"),
page: z.number().optional().describe("Page number for pagination (default: 1)"),
perPage: z.number().optional().describe("Number of results per page (default: 30, max: 100)"),
});
export const ForkRepositorySchema = z.object({
owner: z.string().describe("Repository owner (username or organization)"),
repo: z.string().describe("Repository name"),
organization: z.string().optional().describe("Optional: organization to fork to (defaults to your personal account)"),
});
// Type exports
export type CreateRepositoryOptions = z.infer<typeof CreateRepositoryOptionsSchema>;
// Function implementations
export async function createRepository(options: CreateRepositoryOptions) {
const response = await githubRequest("https://api.github.com/user/repos", {
method: "POST",
body: options,
});
return GitHubRepositorySchema.parse(response);
}
export async function searchRepositories(
query: string,
page: number = 1,
perPage: number = 30
) {
const url = new URL("https://api.github.com/search/repositories");
url.searchParams.append("q", query);
url.searchParams.append("page", page.toString());
url.searchParams.append("per_page", perPage.toString());
const response = await githubRequest(url.toString());
return GitHubSearchResponseSchema.parse(response);
}
export async function forkRepository(
owner: string,
repo: string,
organization?: string
) {
const url = organization
? `https://api.github.com/repos/${owner}/${repo}/forks?organization=${organization}`
: `https://api.github.com/repos/${owner}/${repo}/forks`;
const response = await githubRequest(url, { method: "POST" });
return GitHubRepositorySchema.extend({
parent: GitHubRepositorySchema,
source: GitHubRepositorySchema,
}).parse(response);
}

45
src/github/operations/search.ts
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import { z } from "zod";
import { githubRequest, buildUrl } from "../common/utils.js";
export const SearchOptions = z.object({
q: z.string(),
order: z.enum(["asc", "desc"]).optional(),
page: z.number().min(1).optional(),
per_page: z.number().min(1).max(100).optional(),
});
export const SearchUsersOptions = SearchOptions.extend({
sort: z.enum(["followers", "repositories", "joined"]).optional(),
});
export const SearchIssuesOptions = SearchOptions.extend({
sort: z.enum([
"comments",
"reactions",
"reactions-+1",
"reactions--1",
"reactions-smile",
"reactions-thinking_face",
"reactions-heart",
"reactions-tada",
"interactions",
"created",
"updated",
]).optional(),
});
export const SearchCodeSchema = SearchOptions;
export const SearchUsersSchema = SearchUsersOptions;
export const SearchIssuesSchema = SearchIssuesOptions;
export async function searchCode(params: z.infer<typeof SearchCodeSchema>) {
return githubRequest(buildUrl("https://api.github.com/search/code", params));
}
export async function searchIssues(params: z.infer<typeof SearchIssuesSchema>) {
return githubRequest(buildUrl("https://api.github.com/search/issues", params));
}
export async function searchUsers(params: z.infer<typeof SearchUsersSchema>) {
return githubRequest(buildUrl("https://api.github.com/search/users", params));
}

34
src/github/package.json
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{
"name": "@modelcontextprotocol/server-github",
"version": "0.6.2",
"description": "MCP server for using the GitHub API",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-github": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node": "^22",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2",
"universal-user-agent": "^7.0.2",
"zod": "^3.22.4",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

11
src/github/tsconfig.json
View File

@@ -1,11 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

24
src/gitlab/Dockerfile
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@@ -1,24 +0,0 @@
FROM node:22.12-alpine AS builder
COPY src/gitlab /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22.12-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

260
src/gitlab/README.md
View File

@@ -1,260 +0,0 @@
# GitLab MCP Server
MCP Server for the GitLab API, enabling project management, file operations, and more.
### Features
- **Automatic Branch Creation**: When creating/updating files or pushing changes, branches are automatically created if they don't exist
- **Comprehensive Error Handling**: Clear error messages for common issues
- **Git History Preservation**: Operations maintain proper Git history without force pushing
- **Batch Operations**: Support for both single-file and multi-file operations
## Tools
1. `create_or_update_file`
- Create or update a single file in a project
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `file_path` (string): Path where to create/update the file
- `content` (string): Content of the file
- `commit_message` (string): Commit message
- `branch` (string): Branch to create/update the file in
- `previous_path` (optional string): Path of the file to move/rename
- Returns: File content and commit details
2. `push_files`
- Push multiple files in a single commit
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `branch` (string): Branch to push to
- `files` (array): Files to push, each with `file_path` and `content`
- `commit_message` (string): Commit message
- Returns: Updated branch reference
3. `search_repositories`
- Search for GitLab projects
- Inputs:
- `search` (string): Search query
- `page` (optional number): Page number for pagination
- `per_page` (optional number): Results per page (default 20)
- Returns: Project search results
4. `create_repository`
- Create a new GitLab project
- Inputs:
- `name` (string): Project name
- `description` (optional string): Project description
- `visibility` (optional string): 'private', 'internal', or 'public'
- `initialize_with_readme` (optional boolean): Initialize with README
- Returns: Created project details
5. `get_file_contents`
- Get contents of a file or directory
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `file_path` (string): Path to file/directory
- `ref` (optional string): Branch/tag/commit to get contents from
- Returns: File/directory contents
6. `create_issue`
- Create a new issue
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `title` (string): Issue title
- `description` (optional string): Issue description
- `assignee_ids` (optional number[]): User IDs to assign
- `labels` (optional string[]): Labels to add
- `milestone_id` (optional number): Milestone ID
- Returns: Created issue details
7. `create_merge_request`
- Create a new merge request
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `title` (string): MR title
- `description` (optional string): MR description
- `source_branch` (string): Branch containing changes
- `target_branch` (string): Branch to merge into
- `draft` (optional boolean): Create as draft MR
- `allow_collaboration` (optional boolean): Allow commits from upstream members
- Returns: Created merge request details
8. `fork_repository`
- Fork a project
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `namespace` (optional string): Namespace to fork to
- Returns: Forked project details
9. `create_branch`
- Create a new branch
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `branch` (string): Name for new branch
- `ref` (optional string): Source branch/commit for new branch
- Returns: Created branch reference
## Setup
### Personal Access Token
[Create a GitLab Personal Access Token](https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html) with appropriate permissions:
- Go to User Settings > Access Tokens in GitLab
- Select the required scopes:
- `api` for full API access
- `read_api` for read-only access
- `read_repository` and `write_repository` for repository operations
- Create the token and save it securely
### Usage with Claude Desktop
Add the following to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"gitlab": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"GITLAB_PERSONAL_ACCESS_TOKEN",
"-e",
"GITLAB_API_URL",
"mcp/gitlab"
],
"env": {
"GITLAB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>",
"GITLAB_API_URL": "https://gitlab.com/api/v4" // Optional, for self-hosted instances
}
}
}
}
```
#### NPX
```json
{
"mcpServers": {
"gitlab": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gitlab"
],
"env": {
"GITLAB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>",
"GITLAB_API_URL": "https://gitlab.com/api/v4" // Optional, for self-hosted instances
}
}
}
}
```
### Usage with VS Code
For quick installation, use one of the one-click installation buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gitlab&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_token%22%2C%22description%22%3A%22GitLab%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_url%22%2C%22description%22%3A%22GitLab%20API%20URL%20(optional%2C%20default%3A%20https%3A%2F%2Fgitlab.com%2Fapi%2Fv4)%22%2C%22default%22%3A%22https%3A%2F%2Fgitlab.com%2Fapi%2Fv4%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-gitlab%22%5D%2C%22env%22%3A%7B%22GITLAB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agitlab_token%7D%22%2C%22GITLAB_API_URL%22%3A%22%24%7Binput%3Agitlab_url%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gitlab&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_token%22%2C%22description%22%3A%22GitLab%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_url%22%2C%22description%22%3A%22GitLab%20API%20URL%20(optional%2C%20default%3A%20https%3A%2F%2Fgitlab.com%2Fapi%2Fv4)%22%2C%22default%22%3A%22https%3A%2F%2Fgitlab.com%2Fapi%2Fv4%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-gitlab%22%5D%2C%22env%22%3A%7B%22GITLAB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agitlab_token%7D%22%2C%22GITLAB_API_URL%22%3A%22%24%7Binput%3Agitlab_url%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gitlab&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_token%22%2C%22description%22%3A%22GitLab%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_url%22%2C%22description%22%3A%22GitLab%20API%20URL%20(optional%2C%20default%3A%20https%3A%2F%2Fgitlab.com%2Fapi%2Fv4)%22%2C%22default%22%3A%22https%3A%2F%2Fgitlab.com%2Fapi%2Fv4%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22mcp%2Fgitlab%22%5D%2C%22env%22%3A%7B%22GITLAB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agitlab_token%7D%22%2C%22GITLAB_API_URL%22%3A%22%24%7Binput%3Agitlab_url%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=gitlab&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_token%22%2C%22description%22%3A%22GitLab%20Personal%20Access%20Token%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22gitlab_url%22%2C%22description%22%3A%22GitLab%20API%20URL%20(optional%2C%20default%3A%20https%3A%2F%2Fgitlab.com%2Fapi%2Fv4)%22%2C%22default%22%3A%22https%3A%2F%2Fgitlab.com%2Fapi%2Fv4%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22mcp%2Fgitlab%22%5D%2C%22env%22%3A%7B%22GITLAB_PERSONAL_ACCESS_TOKEN%22%3A%22%24%7Binput%3Agitlab_token%7D%22%2C%22GITLAB_API_URL%22%3A%22%24%7Binput%3Agitlab_url%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
#### Docker
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "gitlab_token",
"description": "GitLab Personal Access Token",
"password": true
},
{
"type": "promptString",
"id": "gitlab_url",
"description": "GitLab API URL (optional)",
"default": "https://gitlab.com/api/v4"
}
],
"servers": {
"gitlab": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/gitlab"
],
"env": {
"GITLAB_PERSONAL_ACCESS_TOKEN": "${input:gitlab_token}",
"GITLAB_API_URL": "${input:gitlab_url}"
}
}
}
}
}
```
#### NPX
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "gitlab_token",
"description": "GitLab Personal Access Token",
"password": true
},
{
"type": "promptString",
"id": "gitlab_url",
"description": "GitLab API URL (optional)",
"default": "https://gitlab.com/api/v4"
}
],
"servers": {
"gitlab": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gitlab"
],
"env": {
"GITLAB_PERSONAL_ACCESS_TOKEN": "${input:gitlab_token}",
"GITLAB_API_URL": "${input:gitlab_url}"
}
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t vonwig/gitlab:mcp -f src/gitlab/Dockerfile .
```
## Environment Variables
- `GITLAB_PERSONAL_ACCESS_TOKEN`: Your GitLab personal access token (required)
- `GITLAB_API_URL`: Base URL for GitLab API (optional, defaults to `https://gitlab.com/api/v4`)
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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src/gitlab/index.ts
View File

@@ -1,518 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
import { z } from 'zod';
import { zodToJsonSchema } from 'zod-to-json-schema';
import {
GitLabForkSchema,
GitLabReferenceSchema,
GitLabRepositorySchema,
GitLabIssueSchema,
GitLabMergeRequestSchema,
GitLabContentSchema,
GitLabCreateUpdateFileResponseSchema,
GitLabSearchResponseSchema,
GitLabTreeSchema,
GitLabCommitSchema,
CreateRepositoryOptionsSchema,
CreateIssueOptionsSchema,
CreateMergeRequestOptionsSchema,
CreateBranchOptionsSchema,
CreateOrUpdateFileSchema,
SearchRepositoriesSchema,
CreateRepositorySchema,
GetFileContentsSchema,
PushFilesSchema,
CreateIssueSchema,
CreateMergeRequestSchema,
ForkRepositorySchema,
CreateBranchSchema,
type GitLabFork,
type GitLabReference,
type GitLabRepository,
type GitLabIssue,
type GitLabMergeRequest,
type GitLabContent,
type GitLabCreateUpdateFileResponse,
type GitLabSearchResponse,
type GitLabTree,
type GitLabCommit,
type FileOperation,
} from './schemas.js';
const server = new Server({
name: "gitlab-mcp-server",
version: "0.5.1",
}, {
capabilities: {
tools: {}
}
});
const GITLAB_PERSONAL_ACCESS_TOKEN = process.env.GITLAB_PERSONAL_ACCESS_TOKEN;
const GITLAB_API_URL = process.env.GITLAB_API_URL || 'https://gitlab.com/api/v4';
if (!GITLAB_PERSONAL_ACCESS_TOKEN) {
console.error("GITLAB_PERSONAL_ACCESS_TOKEN environment variable is not set");
process.exit(1);
}
async function forkProject(
projectId: string,
namespace?: string
): Promise<GitLabFork> {
const url = `${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/fork`;
const queryParams = namespace ? `?namespace=${encodeURIComponent(namespace)}` : '';
const response = await fetch(url + queryParams, {
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
}
});
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabForkSchema.parse(await response.json());
}
async function createBranch(
projectId: string,
options: z.infer<typeof CreateBranchOptionsSchema>
): Promise<GitLabReference> {
const response = await fetch(
`${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/repository/branches`,
{
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
branch: options.name,
ref: options.ref
})
}
);
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabReferenceSchema.parse(await response.json());
}
async function getFileContents(
projectId: string,
filePath: string,
ref?: string
): Promise<GitLabContent> {
const encodedPath = encodeURIComponent(filePath);
let url = `${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/repository/files/${encodedPath}`;
if (ref) {
url += `?ref=${encodeURIComponent(ref)}`;
} else {
url += '?ref=HEAD';
}
const response = await fetch(url, {
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`
}
});
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
const data = GitLabContentSchema.parse(await response.json());
if (!Array.isArray(data) && data.content) {
data.content = Buffer.from(data.content, 'base64').toString('utf8');
}
return data;
}
async function createIssue(
projectId: string,
options: z.infer<typeof CreateIssueOptionsSchema>
): Promise<GitLabIssue> {
const response = await fetch(
`${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/issues`,
{
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
title: options.title,
description: options.description,
assignee_ids: options.assignee_ids,
milestone_id: options.milestone_id,
labels: options.labels?.join(',')
})
}
);
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabIssueSchema.parse(await response.json());
}
async function createMergeRequest(
projectId: string,
options: z.infer<typeof CreateMergeRequestOptionsSchema>
): Promise<GitLabMergeRequest> {
const response = await fetch(
`${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/merge_requests`,
{
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
title: options.title,
description: options.description,
source_branch: options.source_branch,
target_branch: options.target_branch,
allow_collaboration: options.allow_collaboration,
draft: options.draft
})
}
);
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabMergeRequestSchema.parse(await response.json());
}
async function createOrUpdateFile(
projectId: string,
filePath: string,
content: string,
commitMessage: string,
branch: string,
previousPath?: string
): Promise<GitLabCreateUpdateFileResponse> {
const encodedPath = encodeURIComponent(filePath);
const url = `${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/repository/files/${encodedPath}`;
const body = {
branch,
content,
commit_message: commitMessage,
...(previousPath ? { previous_path: previousPath } : {})
};
// Check if file exists
let method = "POST";
try {
await getFileContents(projectId, filePath, branch);
method = "PUT";
} catch (error) {
// File doesn't exist, use POST
}
const response = await fetch(url, {
method,
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify(body)
});
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabCreateUpdateFileResponseSchema.parse(await response.json());
}
async function createTree(
projectId: string,
files: FileOperation[],
ref?: string
): Promise<GitLabTree> {
const response = await fetch(
`${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/repository/tree`,
{
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
files: files.map(file => ({
file_path: file.path,
content: file.content
})),
...(ref ? { ref } : {})
})
}
);
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabTreeSchema.parse(await response.json());
}
async function createCommit(
projectId: string,
message: string,
branch: string,
actions: FileOperation[]
): Promise<GitLabCommit> {
const response = await fetch(
`${GITLAB_API_URL}/projects/${encodeURIComponent(projectId)}/repository/commits`,
{
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
branch,
commit_message: message,
actions: actions.map(action => ({
action: "create",
file_path: action.path,
content: action.content
}))
})
}
);
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabCommitSchema.parse(await response.json());
}
async function searchProjects(
query: string,
page: number = 1,
perPage: number = 20
): Promise<GitLabSearchResponse> {
const url = new URL(`${GITLAB_API_URL}/projects`);
url.searchParams.append("search", query);
url.searchParams.append("page", page.toString());
url.searchParams.append("per_page", perPage.toString());
const response = await fetch(url.toString(), {
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`
}
});
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
const projects = await response.json();
return GitLabSearchResponseSchema.parse({
count: parseInt(response.headers.get("X-Total") || "0"),
items: projects
});
}
async function createRepository(
options: z.infer<typeof CreateRepositoryOptionsSchema>
): Promise<GitLabRepository> {
const response = await fetch(`${GITLAB_API_URL}/projects`, {
method: "POST",
headers: {
"Authorization": `Bearer ${GITLAB_PERSONAL_ACCESS_TOKEN}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
name: options.name,
description: options.description,
visibility: options.visibility,
initialize_with_readme: options.initialize_with_readme
})
});
if (!response.ok) {
throw new Error(`GitLab API error: ${response.statusText}`);
}
return GitLabRepositorySchema.parse(await response.json());
}
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: "create_or_update_file",
description: "Create or update a single file in a GitLab project",
inputSchema: zodToJsonSchema(CreateOrUpdateFileSchema)
},
{
name: "search_repositories",
description: "Search for GitLab projects",
inputSchema: zodToJsonSchema(SearchRepositoriesSchema)
},
{
name: "create_repository",
description: "Create a new GitLab project",
inputSchema: zodToJsonSchema(CreateRepositorySchema)
},
{
name: "get_file_contents",
description: "Get the contents of a file or directory from a GitLab project",
inputSchema: zodToJsonSchema(GetFileContentsSchema)
},
{
name: "push_files",
description: "Push multiple files to a GitLab project in a single commit",
inputSchema: zodToJsonSchema(PushFilesSchema)
},
{
name: "create_issue",
description: "Create a new issue in a GitLab project",
inputSchema: zodToJsonSchema(CreateIssueSchema)
},
{
name: "create_merge_request",
description: "Create a new merge request in a GitLab project",
inputSchema: zodToJsonSchema(CreateMergeRequestSchema)
},
{
name: "fork_repository",
description: "Fork a GitLab project to your account or specified namespace",
inputSchema: zodToJsonSchema(ForkRepositorySchema)
},
{
name: "create_branch",
description: "Create a new branch in a GitLab project",
inputSchema: zodToJsonSchema(CreateBranchSchema)
}
]
};
});
server.setRequestHandler(CallToolRequestSchema, async (request) => {
try {
if (!request.params.arguments) {
throw new Error("Arguments are required");
}
switch (request.params.name) {
case "fork_repository": {
const args = ForkRepositorySchema.parse(request.params.arguments);
const fork = await forkProject(args.project_id, args.namespace);
return { content: [{ type: "text", text: JSON.stringify(fork, null, 2) }] };
}
case "create_branch": {
const args = CreateBranchSchema.parse(request.params.arguments);
let ref = args.ref;
if (!ref) {
ref = "HEAD";
}
const branch = await createBranch(args.project_id, {
name: args.branch,
ref
});
return { content: [{ type: "text", text: JSON.stringify(branch, null, 2) }] };
}
case "search_repositories": {
const args = SearchRepositoriesSchema.parse(request.params.arguments);
const results = await searchProjects(args.search, args.page, args.per_page);
return { content: [{ type: "text", text: JSON.stringify(results, null, 2) }] };
}
case "create_repository": {
const args = CreateRepositorySchema.parse(request.params.arguments);
const repository = await createRepository(args);
return { content: [{ type: "text", text: JSON.stringify(repository, null, 2) }] };
}
case "get_file_contents": {
const args = GetFileContentsSchema.parse(request.params.arguments);
const contents = await getFileContents(args.project_id, args.file_path, args.ref);
return { content: [{ type: "text", text: JSON.stringify(contents, null, 2) }] };
}
case "create_or_update_file": {
const args = CreateOrUpdateFileSchema.parse(request.params.arguments);
const result = await createOrUpdateFile(
args.project_id,
args.file_path,
args.content,
args.commit_message,
args.branch,
args.previous_path
);
return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
}
case "push_files": {
const args = PushFilesSchema.parse(request.params.arguments);
const result = await createCommit(
args.project_id,
args.commit_message,
args.branch,
args.files.map(f => ({ path: f.file_path, content: f.content }))
);
return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
}
case "create_issue": {
const args = CreateIssueSchema.parse(request.params.arguments);
const { project_id, ...options } = args;
const issue = await createIssue(project_id, options);
return { content: [{ type: "text", text: JSON.stringify(issue, null, 2) }] };
}
case "create_merge_request": {
const args = CreateMergeRequestSchema.parse(request.params.arguments);
const { project_id, ...options } = args;
const mergeRequest = await createMergeRequest(project_id, options);
return { content: [{ type: "text", text: JSON.stringify(mergeRequest, null, 2) }] };
}
default:
throw new Error(`Unknown tool: ${request.params.name}`);
}
} catch (error) {
if (error instanceof z.ZodError) {
throw new Error(`Invalid arguments: ${error.errors.map(e => `${e.path.join('.')}: ${e.message}`).join(', ')}`);
}
throw error;
}
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("GitLab MCP Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error in main():", error);
process.exit(1);
});

31
src/gitlab/package.json
View File

@@ -1,31 +0,0 @@
{
"name": "@modelcontextprotocol/server-gitlab",
"version": "0.6.2",
"description": "MCP server for using the GitLab API",
"license": "MIT",
"author": "GitLab, PBC (https://gitlab.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-gitlab": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

325
src/gitlab/schemas.ts
View File

@@ -1,325 +0,0 @@
import { z } from 'zod';
// Base schemas for common types
export const GitLabAuthorSchema = z.object({
name: z.string(),
email: z.string(),
date: z.string()
});
// Repository related schemas
export const GitLabOwnerSchema = z.object({
username: z.string(), // Changed from login to match GitLab API
id: z.number(),
avatar_url: z.string(),
web_url: z.string(), // Changed from html_url to match GitLab API
name: z.string(), // Added as GitLab includes full name
state: z.string() // Added as GitLab includes user state
});
export const GitLabRepositorySchema = z.object({
id: z.number(),
name: z.string(),
path_with_namespace: z.string(), // Changed from full_name to match GitLab API
visibility: z.string(), // Changed from private to match GitLab API
owner: GitLabOwnerSchema.optional(),
web_url: z.string(), // Changed from html_url to match GitLab API
description: z.string().nullable(),
fork: z.boolean().optional(),
ssh_url_to_repo: z.string(), // Changed from ssh_url to match GitLab API
http_url_to_repo: z.string(), // Changed from clone_url to match GitLab API
created_at: z.string(),
last_activity_at: z.string(), // Changed from updated_at to match GitLab API
default_branch: z.string()
});
// File content schemas
export const GitLabFileContentSchema = z.object({
file_name: z.string(), // Changed from name to match GitLab API
file_path: z.string(), // Changed from path to match GitLab API
size: z.number(),
encoding: z.string(),
content: z.string(),
content_sha256: z.string(), // Changed from sha to match GitLab API
ref: z.string(), // Added as GitLab requires branch reference
blob_id: z.string(), // Added to match GitLab API
last_commit_id: z.string() // Added to match GitLab API
});
export const GitLabDirectoryContentSchema = z.object({
name: z.string(),
path: z.string(),
type: z.string(),
mode: z.string(),
id: z.string(), // Changed from sha to match GitLab API
web_url: z.string() // Changed from html_url to match GitLab API
});
export const GitLabContentSchema = z.union([
GitLabFileContentSchema,
z.array(GitLabDirectoryContentSchema)
]);
// Operation schemas
export const FileOperationSchema = z.object({
path: z.string(),
content: z.string()
});
// Tree and commit schemas
export const GitLabTreeEntrySchema = z.object({
id: z.string(), // Changed from sha to match GitLab API
name: z.string(),
type: z.enum(['blob', 'tree']),
path: z.string(),
mode: z.string()
});
export const GitLabTreeSchema = z.object({
id: z.string(), // Changed from sha to match GitLab API
tree: z.array(GitLabTreeEntrySchema)
});
export const GitLabCommitSchema = z.object({
id: z.string(), // Changed from sha to match GitLab API
short_id: z.string(), // Added to match GitLab API
title: z.string(), // Changed from message to match GitLab API
author_name: z.string(),
author_email: z.string(),
authored_date: z.string(),
committer_name: z.string(),
committer_email: z.string(),
committed_date: z.string(),
web_url: z.string(), // Changed from html_url to match GitLab API
parent_ids: z.array(z.string()) // Changed from parents to match GitLab API
});
// Reference schema
export const GitLabReferenceSchema = z.object({
name: z.string(), // Changed from ref to match GitLab API
commit: z.object({
id: z.string(), // Changed from sha to match GitLab API
web_url: z.string() // Changed from url to match GitLab API
})
});
// Input schemas for operations
export const CreateRepositoryOptionsSchema = z.object({
name: z.string(),
description: z.string().optional(),
visibility: z.enum(['private', 'internal', 'public']).optional(), // Changed from private to match GitLab API
initialize_with_readme: z.boolean().optional() // Changed from auto_init to match GitLab API
});
export const CreateIssueOptionsSchema = z.object({
title: z.string(),
description: z.string().optional(), // Changed from body to match GitLab API
assignee_ids: z.array(z.number()).optional(), // Changed from assignees to match GitLab API
milestone_id: z.number().optional(), // Changed from milestone to match GitLab API
labels: z.array(z.string()).optional()
});
export const CreateMergeRequestOptionsSchema = z.object({ // Changed from CreatePullRequestOptionsSchema
title: z.string(),
description: z.string().optional(), // Changed from body to match GitLab API
source_branch: z.string(), // Changed from head to match GitLab API
target_branch: z.string(), // Changed from base to match GitLab API
allow_collaboration: z.boolean().optional(), // Changed from maintainer_can_modify to match GitLab API
draft: z.boolean().optional()
});
export const CreateBranchOptionsSchema = z.object({
name: z.string(), // Changed from ref to match GitLab API
ref: z.string() // The source branch/commit for the new branch
});
// Response schemas for operations
export const GitLabCreateUpdateFileResponseSchema = z.object({
file_path: z.string(),
branch: z.string(),
commit_id: z.string(), // Changed from sha to match GitLab API
content: GitLabFileContentSchema.optional()
});
export const GitLabSearchResponseSchema = z.object({
count: z.number(), // Changed from total_count to match GitLab API
items: z.array(GitLabRepositorySchema)
});
// Fork related schemas
export const GitLabForkParentSchema = z.object({
name: z.string(),
path_with_namespace: z.string(), // Changed from full_name to match GitLab API
owner: z.object({
username: z.string(), // Changed from login to match GitLab API
id: z.number(),
avatar_url: z.string()
}),
web_url: z.string() // Changed from html_url to match GitLab API
});
export const GitLabForkSchema = GitLabRepositorySchema.extend({
forked_from_project: GitLabForkParentSchema // Changed from parent to match GitLab API
});
// Issue related schemas
export const GitLabLabelSchema = z.object({
id: z.number(),
name: z.string(),
color: z.string(),
description: z.string().optional()
});
export const GitLabUserSchema = z.object({
username: z.string(), // Changed from login to match GitLab API
id: z.number(),
name: z.string(),
avatar_url: z.string(),
web_url: z.string() // Changed from html_url to match GitLab API
});
export const GitLabMilestoneSchema = z.object({
id: z.number(),
iid: z.number(), // Added to match GitLab API
title: z.string(),
description: z.string(),
state: z.string(),
web_url: z.string() // Changed from html_url to match GitLab API
});
export const GitLabIssueSchema = z.object({
id: z.number(),
iid: z.number(), // Added to match GitLab API
project_id: z.number(), // Added to match GitLab API
title: z.string(),
description: z.string(), // Changed from body to match GitLab API
state: z.string(),
author: GitLabUserSchema,
assignees: z.array(GitLabUserSchema),
labels: z.array(GitLabLabelSchema),
milestone: GitLabMilestoneSchema.nullable(),
created_at: z.string(),
updated_at: z.string(),
closed_at: z.string().nullable(),
web_url: z.string() // Changed from html_url to match GitLab API
});
// Merge Request related schemas (equivalent to Pull Request)
export const GitLabMergeRequestDiffRefSchema = z.object({
base_sha: z.string(),
head_sha: z.string(),
start_sha: z.string()
});
export const GitLabMergeRequestSchema = z.object({
id: z.number(),
iid: z.number(), // Added to match GitLab API
project_id: z.number(), // Added to match GitLab API
title: z.string(),
description: z.string(), // Changed from body to match GitLab API
state: z.string(),
merged: z.boolean().optional(),
author: GitLabUserSchema,
assignees: z.array(GitLabUserSchema),
source_branch: z.string(), // Changed from head to match GitLab API
target_branch: z.string(), // Changed from base to match GitLab API
diff_refs: GitLabMergeRequestDiffRefSchema.nullable(),
web_url: z.string(), // Changed from html_url to match GitLab API
created_at: z.string(),
updated_at: z.string(),
merged_at: z.string().nullable(),
closed_at: z.string().nullable(),
merge_commit_sha: z.string().nullable()
});
// API Operation Parameter Schemas
const ProjectParamsSchema = z.object({
project_id: z.string().describe("Project ID or URL-encoded path") // Changed from owner/repo to match GitLab API
});
export const CreateOrUpdateFileSchema = ProjectParamsSchema.extend({
file_path: z.string().describe("Path where to create/update the file"),
content: z.string().describe("Content of the file"),
commit_message: z.string().describe("Commit message"),
branch: z.string().describe("Branch to create/update the file in"),
previous_path: z.string().optional()
.describe("Path of the file to move/rename")
});
export const SearchRepositoriesSchema = z.object({
search: z.string().describe("Search query"), // Changed from query to match GitLab API
page: z.number().optional().describe("Page number for pagination (default: 1)"),
per_page: z.number().optional().describe("Number of results per page (default: 20)")
});
export const CreateRepositorySchema = z.object({
name: z.string().describe("Repository name"),
description: z.string().optional().describe("Repository description"),
visibility: z.enum(['private', 'internal', 'public']).optional()
.describe("Repository visibility level"),
initialize_with_readme: z.boolean().optional()
.describe("Initialize with README.md")
});
export const GetFileContentsSchema = ProjectParamsSchema.extend({
file_path: z.string().describe("Path to the file or directory"),
ref: z.string().optional().describe("Branch/tag/commit to get contents from")
});
export const PushFilesSchema = ProjectParamsSchema.extend({
branch: z.string().describe("Branch to push to"),
files: z.array(z.object({
file_path: z.string().describe("Path where to create the file"),
content: z.string().describe("Content of the file")
})).describe("Array of files to push"),
commit_message: z.string().describe("Commit message")
});
export const CreateIssueSchema = ProjectParamsSchema.extend({
title: z.string().describe("Issue title"),
description: z.string().optional().describe("Issue description"),
assignee_ids: z.array(z.number()).optional().describe("Array of user IDs to assign"),
labels: z.array(z.string()).optional().describe("Array of label names"),
milestone_id: z.number().optional().describe("Milestone ID to assign")
});
export const CreateMergeRequestSchema = ProjectParamsSchema.extend({
title: z.string().describe("Merge request title"),
description: z.string().optional().describe("Merge request description"),
source_branch: z.string().describe("Branch containing changes"),
target_branch: z.string().describe("Branch to merge into"),
draft: z.boolean().optional().describe("Create as draft merge request"),
allow_collaboration: z.boolean().optional()
.describe("Allow commits from upstream members")
});
export const ForkRepositorySchema = ProjectParamsSchema.extend({
namespace: z.string().optional()
.describe("Namespace to fork to (full path)")
});
export const CreateBranchSchema = ProjectParamsSchema.extend({
branch: z.string().describe("Name for the new branch"),
ref: z.string().optional()
.describe("Source branch/commit for new branch")
});
// Export types
export type GitLabAuthor = z.infer<typeof GitLabAuthorSchema>;
export type GitLabFork = z.infer<typeof GitLabForkSchema>;
export type GitLabIssue = z.infer<typeof GitLabIssueSchema>;
export type GitLabMergeRequest = z.infer<typeof GitLabMergeRequestSchema>;
export type GitLabRepository = z.infer<typeof GitLabRepositorySchema>;
export type GitLabFileContent = z.infer<typeof GitLabFileContentSchema>;
export type GitLabDirectoryContent = z.infer<typeof GitLabDirectoryContentSchema>;
export type GitLabContent = z.infer<typeof GitLabContentSchema>;
export type FileOperation = z.infer<typeof FileOperationSchema>;
export type GitLabTree = z.infer<typeof GitLabTreeSchema>;
export type GitLabCommit = z.infer<typeof GitLabCommitSchema>;
export type GitLabReference = z.infer<typeof GitLabReferenceSchema>;
export type CreateRepositoryOptions = z.infer<typeof CreateRepositoryOptionsSchema>;
export type CreateIssueOptions = z.infer<typeof CreateIssueOptionsSchema>;
export type CreateMergeRequestOptions = z.infer<typeof CreateMergeRequestOptionsSchema>;
export type CreateBranchOptions = z.infer<typeof CreateBranchOptionsSchema>;
export type GitLabCreateUpdateFileResponse = z.infer<typeof GitLabCreateUpdateFileResponseSchema>;
export type GitLabSearchResponse = z.infer<typeof GitLabSearchResponseSchema>;

11
src/gitlab/tsconfig.json
View File

@@ -1,11 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

25
src/google-maps/Dockerfile
View File

@@ -1,25 +0,0 @@
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/google-maps /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

182
src/google-maps/README.md
View File

@@ -1,182 +0,0 @@
# Google Maps MCP Server
MCP Server for the Google Maps API.
## Tools
1. `maps_geocode`
- Convert address to coordinates
- Input: `address` (string)
- Returns: location, formatted_address, place_id
2. `maps_reverse_geocode`
- Convert coordinates to address
- Inputs:
- `latitude` (number)
- `longitude` (number)
- Returns: formatted_address, place_id, address_components
3. `maps_search_places`
- Search for places using text query
- Inputs:
- `query` (string)
- `location` (optional): { latitude: number, longitude: number }
- `radius` (optional): number (meters, max 50000)
- Returns: array of places with names, addresses, locations
4. `maps_place_details`
- Get detailed information about a place
- Input: `place_id` (string)
- Returns: name, address, contact info, ratings, reviews, opening hours
5. `maps_distance_matrix`
- Calculate distances and times between points
- Inputs:
- `origins` (string[])
- `destinations` (string[])
- `mode` (optional): "driving" | "walking" | "bicycling" | "transit"
- Returns: distances and durations matrix
6. `maps_elevation`
- Get elevation data for locations
- Input: `locations` (array of {latitude, longitude})
- Returns: elevation data for each point
7. `maps_directions`
- Get directions between points
- Inputs:
- `origin` (string)
- `destination` (string)
- `mode` (optional): "driving" | "walking" | "bicycling" | "transit"
- Returns: route details with steps, distance, duration
## Setup
### API Key
Get a Google Maps API key by following the instructions [here](https://developers.google.com/maps/documentation/javascript/get-api-key#create-api-keys).
### Usage with Claude Desktop
Add the following to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"google-maps": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GOOGLE_MAPS_API_KEY",
"mcp/google-maps"
],
"env": {
"GOOGLE_MAPS_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"google-maps": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-google-maps"],
"env": {
"GOOGLE_MAPS_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
```
### Usage with VS Code
For quick installation, use one of the one-click install buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=google-maps&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22maps_api_key%22%2C%22description%22%3A%22Google%20Maps%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-google-maps%22%5D%2C%22env%22%3A%7B%22GOOGLE_MAPS_API_KEY%22%3A%22%24%7Binput%3Amaps_api_key%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=google-maps&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22maps_api_key%22%2C%22description%22%3A%22Google%20Maps%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-google-maps%22%5D%2C%22env%22%3A%7B%22GOOGLE_MAPS_API_KEY%22%3A%22%24%7Binput%3Amaps_api_key%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=google-maps&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22maps_api_key%22%2C%22description%22%3A%22Google%20Maps%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fgoogle-maps%22%5D%2C%22env%22%3A%7B%22GOOGLE_MAPS_API_KEY%22%3A%22%24%7Binput%3Amaps_api_key%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=google-maps&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22maps_api_key%22%2C%22description%22%3A%22Google%20Maps%20API%20Key%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fgoogle-maps%22%5D%2C%22env%22%3A%7B%22GOOGLE_MAPS_API_KEY%22%3A%22%24%7Binput%3Amaps_api_key%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "maps_api_key",
"description": "Google Maps API Key",
"password": true
}
],
"servers": {
"google-maps": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-google-maps"],
"env": {
"GOOGLE_MAPS_API_KEY": "${input:maps_api_key}"
}
}
}
}
}
```
For Docker installation:
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "maps_api_key",
"description": "Google Maps API Key",
"password": true
}
],
"servers": {
"google-maps": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/google-maps"],
"env": {
"GOOGLE_MAPS_API_KEY": "${input:maps_api_key}"
}
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/google-maps -f src/google-maps/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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src/google-maps/index.ts
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@@ -1,678 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
// Response interfaces
interface GoogleMapsResponse {
status: string;
error_message?: string;
}
interface GeocodeResponse extends GoogleMapsResponse {
results: Array<{
place_id: string;
formatted_address: string;
geometry: {
location: {
lat: number;
lng: number;
}
};
address_components: Array<{
long_name: string;
short_name: string;
types: string[];
}>;
}>;
}
interface PlacesSearchResponse extends GoogleMapsResponse {
results: Array<{
name: string;
place_id: string;
formatted_address: string;
geometry: {
location: {
lat: number;
lng: number;
}
};
rating?: number;
types: string[];
}>;
}
interface PlaceDetailsResponse extends GoogleMapsResponse {
result: {
name: string;
place_id: string;
formatted_address: string;
formatted_phone_number?: string;
website?: string;
rating?: number;
reviews?: Array<{
author_name: string;
rating: number;
text: string;
time: number;
}>;
opening_hours?: {
weekday_text: string[];
open_now: boolean;
};
geometry: {
location: {
lat: number;
lng: number;
}
};
};
}
interface DistanceMatrixResponse extends GoogleMapsResponse {
origin_addresses: string[];
destination_addresses: string[];
rows: Array<{
elements: Array<{
status: string;
duration: {
text: string;
value: number;
};
distance: {
text: string;
value: number;
};
}>;
}>;
}
interface ElevationResponse extends GoogleMapsResponse {
results: Array<{
elevation: number;
location: {
lat: number;
lng: number;
};
resolution: number;
}>;
}
interface DirectionsResponse extends GoogleMapsResponse {
routes: Array<{
summary: string;
legs: Array<{
distance: {
text: string;
value: number;
};
duration: {
text: string;
value: number;
};
steps: Array<{
html_instructions: string;
distance: {
text: string;
value: number;
};
duration: {
text: string;
value: number;
};
travel_mode: string;
}>;
}>;
}>;
}
function getApiKey(): string {
const apiKey = process.env.GOOGLE_MAPS_API_KEY;
if (!apiKey) {
console.error("GOOGLE_MAPS_API_KEY environment variable is not set");
process.exit(1);
}
return apiKey;
}
const GOOGLE_MAPS_API_KEY = getApiKey();
// Tool definitions
const GEOCODE_TOOL: Tool = {
name: "maps_geocode",
description: "Convert an address into geographic coordinates",
inputSchema: {
type: "object",
properties: {
address: {
type: "string",
description: "The address to geocode"
}
},
required: ["address"]
}
};
const REVERSE_GEOCODE_TOOL: Tool = {
name: "maps_reverse_geocode",
description: "Convert coordinates into an address",
inputSchema: {
type: "object",
properties: {
latitude: {
type: "number",
description: "Latitude coordinate"
},
longitude: {
type: "number",
description: "Longitude coordinate"
}
},
required: ["latitude", "longitude"]
}
};
const SEARCH_PLACES_TOOL: Tool = {
name: "maps_search_places",
description: "Search for places using Google Places API",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Search query"
},
location: {
type: "object",
properties: {
latitude: { type: "number" },
longitude: { type: "number" }
},
description: "Optional center point for the search"
},
radius: {
type: "number",
description: "Search radius in meters (max 50000)"
}
},
required: ["query"]
}
};
const PLACE_DETAILS_TOOL: Tool = {
name: "maps_place_details",
description: "Get detailed information about a specific place",
inputSchema: {
type: "object",
properties: {
place_id: {
type: "string",
description: "The place ID to get details for"
}
},
required: ["place_id"]
}
};
const DISTANCE_MATRIX_TOOL: Tool = {
name: "maps_distance_matrix",
description: "Calculate travel distance and time for multiple origins and destinations",
inputSchema: {
type: "object",
properties: {
origins: {
type: "array",
items: { type: "string" },
description: "Array of origin addresses or coordinates"
},
destinations: {
type: "array",
items: { type: "string" },
description: "Array of destination addresses or coordinates"
},
mode: {
type: "string",
description: "Travel mode (driving, walking, bicycling, transit)",
enum: ["driving", "walking", "bicycling", "transit"]
}
},
required: ["origins", "destinations"]
}
};
const ELEVATION_TOOL: Tool = {
name: "maps_elevation",
description: "Get elevation data for locations on the earth",
inputSchema: {
type: "object",
properties: {
locations: {
type: "array",
items: {
type: "object",
properties: {
latitude: { type: "number" },
longitude: { type: "number" }
},
required: ["latitude", "longitude"]
},
description: "Array of locations to get elevation for"
}
},
required: ["locations"]
}
};
const DIRECTIONS_TOOL: Tool = {
name: "maps_directions",
description: "Get directions between two points",
inputSchema: {
type: "object",
properties: {
origin: {
type: "string",
description: "Starting point address or coordinates"
},
destination: {
type: "string",
description: "Ending point address or coordinates"
},
mode: {
type: "string",
description: "Travel mode (driving, walking, bicycling, transit)",
enum: ["driving", "walking", "bicycling", "transit"]
}
},
required: ["origin", "destination"]
}
};
const MAPS_TOOLS = [
GEOCODE_TOOL,
REVERSE_GEOCODE_TOOL,
SEARCH_PLACES_TOOL,
PLACE_DETAILS_TOOL,
DISTANCE_MATRIX_TOOL,
ELEVATION_TOOL,
DIRECTIONS_TOOL,
] as const;
// API handlers
async function handleGeocode(address: string) {
const url = new URL("https://maps.googleapis.com/maps/api/geocode/json");
url.searchParams.append("address", address);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
const response = await fetch(url.toString());
const data = await response.json() as GeocodeResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Geocoding failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
location: data.results[0].geometry.location,
formatted_address: data.results[0].formatted_address,
place_id: data.results[0].place_id
}, null, 2)
}],
isError: false
};
}
async function handleReverseGeocode(latitude: number, longitude: number) {
const url = new URL("https://maps.googleapis.com/maps/api/geocode/json");
url.searchParams.append("latlng", `${latitude},${longitude}`);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
const response = await fetch(url.toString());
const data = await response.json() as GeocodeResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Reverse geocoding failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
formatted_address: data.results[0].formatted_address,
place_id: data.results[0].place_id,
address_components: data.results[0].address_components
}, null, 2)
}],
isError: false
};
}
async function handlePlaceSearch(
query: string,
location?: { latitude: number; longitude: number },
radius?: number
) {
const url = new URL("https://maps.googleapis.com/maps/api/place/textsearch/json");
url.searchParams.append("query", query);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
if (location) {
url.searchParams.append("location", `${location.latitude},${location.longitude}`);
}
if (radius) {
url.searchParams.append("radius", radius.toString());
}
const response = await fetch(url.toString());
const data = await response.json() as PlacesSearchResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Place search failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
places: data.results.map((place) => ({
name: place.name,
formatted_address: place.formatted_address,
location: place.geometry.location,
place_id: place.place_id,
rating: place.rating,
types: place.types
}))
}, null, 2)
}],
isError: false
};
}
async function handlePlaceDetails(place_id: string) {
const url = new URL("https://maps.googleapis.com/maps/api/place/details/json");
url.searchParams.append("place_id", place_id);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
const response = await fetch(url.toString());
const data = await response.json() as PlaceDetailsResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Place details request failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
name: data.result.name,
formatted_address: data.result.formatted_address,
location: data.result.geometry.location,
formatted_phone_number: data.result.formatted_phone_number,
website: data.result.website,
rating: data.result.rating,
reviews: data.result.reviews,
opening_hours: data.result.opening_hours
}, null, 2)
}],
isError: false
};
}
async function handleDistanceMatrix(
origins: string[],
destinations: string[],
mode: "driving" | "walking" | "bicycling" | "transit" = "driving"
) {
const url = new URL("https://maps.googleapis.com/maps/api/distancematrix/json");
url.searchParams.append("origins", origins.join("|"));
url.searchParams.append("destinations", destinations.join("|"));
url.searchParams.append("mode", mode);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
const response = await fetch(url.toString());
const data = await response.json() as DistanceMatrixResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Distance matrix request failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
origin_addresses: data.origin_addresses,
destination_addresses: data.destination_addresses,
results: data.rows.map((row) => ({
elements: row.elements.map((element) => ({
status: element.status,
duration: element.duration,
distance: element.distance
}))
}))
}, null, 2)
}],
isError: false
};
}
async function handleElevation(locations: Array<{ latitude: number; longitude: number }>) {
const url = new URL("https://maps.googleapis.com/maps/api/elevation/json");
const locationString = locations
.map((loc) => `${loc.latitude},${loc.longitude}`)
.join("|");
url.searchParams.append("locations", locationString);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
const response = await fetch(url.toString());
const data = await response.json() as ElevationResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Elevation request failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
results: data.results.map((result) => ({
elevation: result.elevation,
location: result.location,
resolution: result.resolution
}))
}, null, 2)
}],
isError: false
};
}
async function handleDirections(
origin: string,
destination: string,
mode: "driving" | "walking" | "bicycling" | "transit" = "driving"
) {
const url = new URL("https://maps.googleapis.com/maps/api/directions/json");
url.searchParams.append("origin", origin);
url.searchParams.append("destination", destination);
url.searchParams.append("mode", mode);
url.searchParams.append("key", GOOGLE_MAPS_API_KEY);
const response = await fetch(url.toString());
const data = await response.json() as DirectionsResponse;
if (data.status !== "OK") {
return {
content: [{
type: "text",
text: `Directions request failed: ${data.error_message || data.status}`
}],
isError: true
};
}
return {
content: [{
type: "text",
text: JSON.stringify({
routes: data.routes.map((route) => ({
summary: route.summary,
distance: route.legs[0].distance,
duration: route.legs[0].duration,
steps: route.legs[0].steps.map((step) => ({
instructions: step.html_instructions,
distance: step.distance,
duration: step.duration,
travel_mode: step.travel_mode
}))
}))
}, null, 2)
}],
isError: false
};
}
// Server setup
const server = new Server(
{
name: "mcp-server/google-maps",
version: "0.1.0",
},
{
capabilities: {
tools: {},
},
},
);
// Set up request handlers
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: MAPS_TOOLS,
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
try {
switch (request.params.name) {
case "maps_geocode": {
const { address } = request.params.arguments as { address: string };
return await handleGeocode(address);
}
case "maps_reverse_geocode": {
const { latitude, longitude } = request.params.arguments as {
latitude: number;
longitude: number;
};
return await handleReverseGeocode(latitude, longitude);
}
case "maps_search_places": {
const { query, location, radius } = request.params.arguments as {
query: string;
location?: { latitude: number; longitude: number };
radius?: number;
};
return await handlePlaceSearch(query, location, radius);
}
case "maps_place_details": {
const { place_id } = request.params.arguments as { place_id: string };
return await handlePlaceDetails(place_id);
}
case "maps_distance_matrix": {
const { origins, destinations, mode } = request.params.arguments as {
origins: string[];
destinations: string[];
mode?: "driving" | "walking" | "bicycling" | "transit";
};
return await handleDistanceMatrix(origins, destinations, mode);
}
case "maps_elevation": {
const { locations } = request.params.arguments as {
locations: Array<{ latitude: number; longitude: number }>;
};
return await handleElevation(locations);
}
case "maps_directions": {
const { origin, destination, mode } = request.params.arguments as {
origin: string;
destination: string;
mode?: "driving" | "walking" | "bicycling" | "transit";
};
return await handleDirections(origin, destination, mode);
}
default:
return {
content: [{
type: "text",
text: `Unknown tool: ${request.params.name}`
}],
isError: true
};
}
} catch (error) {
return {
content: [{
type: "text",
text: `Error: ${error instanceof Error ? error.message : String(error)}`
}],
isError: true
};
}
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Google Maps MCP Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error running server:", error);
process.exit(1);
});

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src/google-maps/package.json
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{
"name": "@modelcontextprotocol/server-google-maps",
"version": "0.6.2",
"description": "MCP server for using the Google Maps API",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-google-maps": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

10
src/google-maps/tsconfig.json
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@@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

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src/postgres/Dockerfile
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FROM node:22.12-alpine AS builder
COPY src/postgres /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

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src/postgres/README.md
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# PostgreSQL
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
## Components
### Tools
- **query**
- Execute read-only SQL queries against the connected database
- Input: `sql` (string): The SQL query to execute
- All queries are executed within a READ ONLY transaction
### Resources
The server provides schema information for each table in the database:
- **Table Schemas** (`postgres://<host>/<table>/schema`)
- JSON schema information for each table
- Includes column names and data types
- Automatically discovered from database metadata
## Configuration
### Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your `claude_desktop_config.json`:
### Docker
* when running docker on macos, use host.docker.internal if the server is running on the host network (eg localhost)
* username/password can be added to the postgresql url with `postgresql://user:password@host:port/db-name`
```json
{
"mcpServers": {
"postgres": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/postgres",
"postgresql://host.docker.internal:5432/mydb"]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"postgres": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-postgres",
"postgresql://localhost/mydb"
]
}
}
}
```
Replace `/mydb` with your database name.
### Usage with VS Code
For quick installation, use one of the one-click install buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=postgres&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22pg_url%22%2C%22description%22%3A%22PostgreSQL%20URL%20(e.g.%20postgresql%3A%2F%2Fuser%3Apass%40localhost%3A5432%2Fmydb)%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-postgres%22%2C%22%24%7Binput%3Apg_url%7D%22%5D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=postgres&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22pg_url%22%2C%22description%22%3A%22PostgreSQL%20URL%20(e.g.%20postgresql%3A%2F%2Fuser%3Apass%40localhost%3A5432%2Fmydb)%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-postgres%22%2C%22%24%7Binput%3Apg_url%7D%22%5D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=postgres&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22pg_url%22%2C%22description%22%3A%22PostgreSQL%20URL%20(e.g.%20postgresql%3A%2F%2Fuser%3Apass%40host.docker.internal%3A5432%2Fmydb)%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fpostgres%22%2C%22%24%7Binput%3Apg_url%7D%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=postgres&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22pg_url%22%2C%22description%22%3A%22PostgreSQL%20URL%20(e.g.%20postgresql%3A%2F%2Fuser%3Apass%40host.docker.internal%3A5432%2Fmydb)%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fpostgres%22%2C%22%24%7Binput%3Apg_url%7D%22%5D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
### Docker
**Note**: When using Docker and connecting to a PostgreSQL server on your host machine, use `host.docker.internal` instead of `localhost` in the connection URL.
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "pg_url",
"description": "PostgreSQL URL (e.g. postgresql://user:pass@host.docker.internal:5432/mydb)"
}
],
"servers": {
"postgres": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/postgres",
"${input:pg_url}"
]
}
}
}
}
```
### NPX
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "pg_url",
"description": "PostgreSQL URL (e.g. postgresql://user:pass@localhost:5432/mydb)"
}
],
"servers": {
"postgres": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-postgres",
"${input:pg_url}"
]
}
}
}
}
```
## Building
Docker:
```sh
docker build -t mcp/postgres -f src/postgres/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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src/postgres/index.ts
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#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListResourcesRequestSchema,
ListToolsRequestSchema,
ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import pg from "pg";
const server = new Server(
{
name: "example-servers/postgres",
version: "0.1.0",
},
{
capabilities: {
resources: {},
tools: {},
},
},
);
const args = process.argv.slice(2);
if (args.length === 0) {
console.error("Please provide a database URL as a command-line argument");
process.exit(1);
}
const databaseUrl = args[0];
const resourceBaseUrl = new URL(databaseUrl);
resourceBaseUrl.protocol = "postgres:";
resourceBaseUrl.password = "";
const pool = new pg.Pool({
connectionString: databaseUrl,
});
const SCHEMA_PATH = "schema";
server.setRequestHandler(ListResourcesRequestSchema, async () => {
const client = await pool.connect();
try {
const result = await client.query(
"SELECT table_name FROM information_schema.tables WHERE table_schema = 'public'",
);
return {
resources: result.rows.map((row) => ({
uri: new URL(`${row.table_name}/${SCHEMA_PATH}`, resourceBaseUrl).href,
mimeType: "application/json",
name: `"${row.table_name}" database schema`,
})),
};
} finally {
client.release();
}
});
server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
const resourceUrl = new URL(request.params.uri);
const pathComponents = resourceUrl.pathname.split("/");
const schema = pathComponents.pop();
const tableName = pathComponents.pop();
if (schema !== SCHEMA_PATH) {
throw new Error("Invalid resource URI");
}
const client = await pool.connect();
try {
const result = await client.query(
"SELECT column_name, data_type FROM information_schema.columns WHERE table_name = $1",
[tableName],
);
return {
contents: [
{
uri: request.params.uri,
mimeType: "application/json",
text: JSON.stringify(result.rows, null, 2),
},
],
};
} finally {
client.release();
}
});
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: "query",
description: "Run a read-only SQL query",
inputSchema: {
type: "object",
properties: {
sql: { type: "string" },
},
},
},
],
};
});
server.setRequestHandler(CallToolRequestSchema, async (request) => {
if (request.params.name === "query") {
const sql = request.params.arguments?.sql as string;
const client = await pool.connect();
try {
await client.query("BEGIN TRANSACTION READ ONLY");
const result = await client.query(sql);
return {
content: [{ type: "text", text: JSON.stringify(result.rows, null, 2) }],
isError: false,
};
} catch (error) {
throw error;
} finally {
client
.query("ROLLBACK")
.catch((error) =>
console.warn("Could not roll back transaction:", error),
);
client.release();
}
}
throw new Error(`Unknown tool: ${request.params.name}`);
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
}
runServer().catch(console.error);

30
src/postgres/package.json
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@@ -1,30 +0,0 @@
{
"name": "@modelcontextprotocol/server-postgres",
"version": "0.6.2",
"description": "MCP server for interacting with PostgreSQL databases",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-postgres": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"pg": "^8.13.0"
},
"devDependencies": {
"@types/pg": "^8.11.10",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

10
src/postgres/tsconfig.json
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@@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

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src/puppeteer/Dockerfile
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@@ -1,26 +0,0 @@
FROM node:22-bookworm-slim
ENV DEBIAN_FRONTEND=noninteractive
# for arm64 support we need to install chromium provided by debian
# npm ERR! The chromium binary is not available for arm64.
# https://github.com/puppeteer/puppeteer/issues/7740
ENV PUPPETEER_SKIP_CHROMIUM_DOWNLOAD=true
ENV PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium
RUN apt-get update && \
apt-get install -y wget gnupg && \
apt-get install -y fonts-ipafont-gothic fonts-wqy-zenhei fonts-thai-tlwg fonts-kacst fonts-freefont-ttf libxss1 \
libgtk2.0-0 libnss3 libatk-bridge2.0-0 libdrm2 libxkbcommon0 libgbm1 libasound2 && \
apt-get install -y chromium && \
apt-get clean
COPY src/puppeteer /project
COPY tsconfig.json /tsconfig.json
WORKDIR /project
RUN npm install
ENTRYPOINT ["node", "dist/index.js"]

217
src/puppeteer/README.md
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@@ -1,217 +0,0 @@
# Puppeteer
A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
> [!CAUTION]
> This server can access local files and local/internal IP addresses since it runs a browser on your machine. Exercise caution when using this MCP server to ensure this does not expose any sensitive data.
## Components
### Tools
- **puppeteer_navigate**
- Navigate to any URL in the browser
- Inputs:
- `url` (string, required): URL to navigate to
- `launchOptions` (object, optional): PuppeteerJS LaunchOptions. Default null. If changed and not null, browser restarts. Example: `{ headless: true, args: ['--user-data-dir="C:/Data"'] }`
- `allowDangerous` (boolean, optional): Allow dangerous LaunchOptions that reduce security. When false, dangerous args like `--no-sandbox`, `--disable-web-security` will throw errors. Default false.
- **puppeteer_screenshot**
- Capture screenshots of the entire page or specific elements
- Inputs:
- `name` (string, required): Name for the screenshot
- `selector` (string, optional): CSS selector for element to screenshot
- `width` (number, optional, default: 800): Screenshot width
- `height` (number, optional, default: 600): Screenshot height
- `encoded` (boolean, optional): If true, capture the screenshot as a base64-encoded data URI (as text) instead of binary image content. Default false.
- **puppeteer_click**
- Click elements on the page
- Input: `selector` (string): CSS selector for element to click
- **puppeteer_hover**
- Hover elements on the page
- Input: `selector` (string): CSS selector for element to hover
- **puppeteer_fill**
- Fill out input fields
- Inputs:
- `selector` (string): CSS selector for input field
- `value` (string): Value to fill
- **puppeteer_select**
- Select an element with SELECT tag
- Inputs:
- `selector` (string): CSS selector for element to select
- `value` (string): Value to select
- **puppeteer_evaluate**
- Execute JavaScript in the browser console
- Input: `script` (string): JavaScript code to execute
### Resources
The server provides access to two types of resources:
1. **Console Logs** (`console://logs`)
- Browser console output in text format
- Includes all console messages from the browser
2. **Screenshots** (`screenshot://<name>`)
- PNG images of captured screenshots
- Accessible via the screenshot name specified during capture
## Key Features
- Browser automation
- Console log monitoring
- Screenshot capabilities
- JavaScript execution
- Basic web interaction (navigation, clicking, form filling)
- Customizable Puppeteer launch options
## Configuration to use Puppeteer Server
### Usage with Claude Desktop
Here's the Claude Desktop configuration to use the Puppeter server:
### Docker
**NOTE** The docker implementation will use headless chromium, where as the NPX version will open a browser window.
```json
{
"mcpServers": {
"puppeteer": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"mcp/puppeteer"
]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"puppeteer": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-puppeteer"]
}
}
}
```
### Usage with VS Code
For quick installation, use one of the one-click install buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=puppeteer&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-puppeteer%22%5D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=puppeteer&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-puppeteer%22%5D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=puppeteer&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22--init%22%2C%22-e%22%2C%22DOCKER_CONTAINER%3Dtrue%22%2C%22mcp%2Fpuppeteer%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=puppeteer&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22--init%22%2C%22-e%22%2C%22DOCKER_CONTAINER%3Dtrue%22%2C%22mcp%2Fpuppeteer%22%5D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
For NPX installation (opens a browser window):
```json
{
"mcp": {
"servers": {
"puppeteer": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-puppeteer"]
}
}
}
}
```
For Docker installation (uses headless chromium):
```json
{
"mcp": {
"servers": {
"puppeteer": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"mcp/puppeteer"
]
}
}
}
}
```
### Launch Options
You can customize Puppeteer's browser behavior in two ways:
1. **Environment Variable**: Set `PUPPETEER_LAUNCH_OPTIONS` with a JSON-encoded string in the MCP configuration's `env` parameter:
```json
{
"mcpServers": {
"mcp-puppeteer": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-puppeteer"],
"env": {
"PUPPETEER_LAUNCH_OPTIONS": "{ \"headless\": false, \"executablePath\": \"C:/Program Files/Google/Chrome/Application/chrome.exe\", \"args\": [] }",
"ALLOW_DANGEROUS": "true"
}
}
}
}
```
2. **Tool Call Arguments**: Pass `launchOptions` and `allowDangerous` parameters to the `puppeteer_navigate` tool:
```json
{
"url": "https://example.com",
"launchOptions": {
"headless": false,
"defaultViewport": { "width": 1280, "height": 720 }
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/puppeteer -f src/puppeteer/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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src/puppeteer/index.ts
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#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListResourcesRequestSchema,
ListToolsRequestSchema,
ReadResourceRequestSchema,
CallToolResult,
TextContent,
ImageContent,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import puppeteer, { Browser, Page } from "puppeteer";
// Define the tools once to avoid repetition
const TOOLS: Tool[] = [
{
name: "puppeteer_navigate",
description: "Navigate to a URL",
inputSchema: {
type: "object",
properties: {
url: { type: "string", description: "URL to navigate to" },
launchOptions: { type: "object", description: "PuppeteerJS LaunchOptions. Default null. If changed and not null, browser restarts. Example: { headless: true, args: ['--no-sandbox'] }" },
allowDangerous: { type: "boolean", description: "Allow dangerous LaunchOptions that reduce security. When false, dangerous args like --no-sandbox will throw errors. Default false." },
},
required: ["url"],
},
},
{
name: "puppeteer_screenshot",
description: "Take a screenshot of the current page or a specific element",
inputSchema: {
type: "object",
properties: {
name: { type: "string", description: "Name for the screenshot" },
selector: { type: "string", description: "CSS selector for element to screenshot" },
width: { type: "number", description: "Width in pixels (default: 800)" },
height: { type: "number", description: "Height in pixels (default: 600)" },
encoded: { type: "boolean", description: "If true, capture the screenshot as a base64-encoded data URI (as text) instead of binary image content. Default false." },
},
required: ["name"],
},
},
{
name: "puppeteer_click",
description: "Click an element on the page",
inputSchema: {
type: "object",
properties: {
selector: { type: "string", description: "CSS selector for element to click" },
},
required: ["selector"],
},
},
{
name: "puppeteer_fill",
description: "Fill out an input field",
inputSchema: {
type: "object",
properties: {
selector: { type: "string", description: "CSS selector for input field" },
value: { type: "string", description: "Value to fill" },
},
required: ["selector", "value"],
},
},
{
name: "puppeteer_select",
description: "Select an element on the page with Select tag",
inputSchema: {
type: "object",
properties: {
selector: { type: "string", description: "CSS selector for element to select" },
value: { type: "string", description: "Value to select" },
},
required: ["selector", "value"],
},
},
{
name: "puppeteer_hover",
description: "Hover an element on the page",
inputSchema: {
type: "object",
properties: {
selector: { type: "string", description: "CSS selector for element to hover" },
},
required: ["selector"],
},
},
{
name: "puppeteer_evaluate",
description: "Execute JavaScript in the browser console",
inputSchema: {
type: "object",
properties: {
script: { type: "string", description: "JavaScript code to execute" },
},
required: ["script"],
},
},
];
// Global state
let browser: Browser | null;
let page: Page | null;
const consoleLogs: string[] = [];
const screenshots = new Map<string, string>();
let previousLaunchOptions: any = null;
async function ensureBrowser({ launchOptions, allowDangerous }: any) {
const DANGEROUS_ARGS = [
'--no-sandbox',
'--disable-setuid-sandbox',
'--single-process',
'--disable-web-security',
'--ignore-certificate-errors',
'--disable-features=IsolateOrigins',
'--disable-site-isolation-trials',
'--allow-running-insecure-content'
];
// Parse environment config safely
let envConfig = {};
try {
envConfig = JSON.parse(process.env.PUPPETEER_LAUNCH_OPTIONS || '{}');
} catch (error: any) {
console.warn('Failed to parse PUPPETEER_LAUNCH_OPTIONS:', error?.message || error);
}
// Deep merge environment config with user-provided options
const mergedConfig = deepMerge(envConfig, launchOptions || {});
// Security validation for merged config
if (mergedConfig?.args) {
const dangerousArgs = mergedConfig.args?.filter?.((arg: string) => DANGEROUS_ARGS.some((dangerousArg: string) => arg.startsWith(dangerousArg)));
if (dangerousArgs?.length > 0 && !(allowDangerous || (process.env.ALLOW_DANGEROUS === 'true'))) {
throw new Error(`Dangerous browser arguments detected: ${dangerousArgs.join(', ')}. Fround from environment variable and tool call argument. ` +
'Set allowDangerous: true in the tool call arguments to override.');
}
}
try {
if ((browser && !browser.connected) ||
(launchOptions && (JSON.stringify(launchOptions) != JSON.stringify(previousLaunchOptions)))) {
await browser?.close();
browser = null;
}
}
catch (error) {
browser = null;
}
previousLaunchOptions = launchOptions;
if (!browser) {
const npx_args = { headless: false }
const docker_args = { headless: true, args: ["--no-sandbox", "--single-process", "--no-zygote"] }
browser = await puppeteer.launch(deepMerge(
process.env.DOCKER_CONTAINER ? docker_args : npx_args,
mergedConfig
));
const pages = await browser.pages();
page = pages[0];
page.on("console", (msg) => {
const logEntry = `[${msg.type()}] ${msg.text()}`;
consoleLogs.push(logEntry);
server.notification({
method: "notifications/resources/updated",
params: { uri: "console://logs" },
});
});
}
return page!;
}
// Deep merge utility function
function deepMerge(target: any, source: any): any {
const output = Object.assign({}, target);
if (typeof target !== 'object' || typeof source !== 'object') return source;
for (const key of Object.keys(source)) {
const targetVal = target[key];
const sourceVal = source[key];
if (Array.isArray(targetVal) && Array.isArray(sourceVal)) {
// Deduplicate args/ignoreDefaultArgs, prefer source values
output[key] = [...new Set([
...(key === 'args' || key === 'ignoreDefaultArgs' ?
targetVal.filter((arg: string) => !sourceVal.some((launchArg: string) => arg.startsWith('--') && launchArg.startsWith(arg.split('=')[0]))) :
targetVal),
...sourceVal
])];
} else if (sourceVal instanceof Object && key in target) {
output[key] = deepMerge(targetVal, sourceVal);
} else {
output[key] = sourceVal;
}
}
return output;
}
declare global {
interface Window {
mcpHelper: {
logs: string[],
originalConsole: Partial<typeof console>,
}
}
}
async function handleToolCall(name: string, args: any): Promise<CallToolResult> {
const page = await ensureBrowser(args);
switch (name) {
case "puppeteer_navigate":
await page.goto(args.url);
return {
content: [{
type: "text",
text: `Navigated to ${args.url}`,
}],
isError: false,
};
case "puppeteer_screenshot": {
const width = args.width ?? 800;
const height = args.height ?? 600;
const encoded = args.encoded ?? false;
await page.setViewport({ width, height });
const screenshot = await (args.selector ?
(await page.$(args.selector))?.screenshot({ encoding: "base64" }) :
page.screenshot({ encoding: "base64", fullPage: false }));
if (!screenshot) {
return {
content: [{
type: "text",
text: args.selector ? `Element not found: ${args.selector}` : "Screenshot failed",
}],
isError: true,
};
}
screenshots.set(args.name, screenshot as string);
server.notification({
method: "notifications/resources/list_changed",
});
return {
content: [
{
type: "text",
text: `Screenshot '${args.name}' taken at ${width}x${height}`,
} as TextContent,
encoded ? ({
type: "text",
text: `data:image/png;base64,${screenshot}`,
} as TextContent) : ({
type: "image",
data: screenshot,
mimeType: "image/png",
} as ImageContent),
],
isError: false,
};
}
case "puppeteer_click":
try {
await page.click(args.selector);
return {
content: [{
type: "text",
text: `Clicked: ${args.selector}`,
}],
isError: false,
};
} catch (error) {
return {
content: [{
type: "text",
text: `Failed to click ${args.selector}: ${(error as Error).message}`,
}],
isError: true,
};
}
case "puppeteer_fill":
try {
await page.waitForSelector(args.selector);
await page.type(args.selector, args.value);
return {
content: [{
type: "text",
text: `Filled ${args.selector} with: ${args.value}`,
}],
isError: false,
};
} catch (error) {
return {
content: [{
type: "text",
text: `Failed to fill ${args.selector}: ${(error as Error).message}`,
}],
isError: true,
};
}
case "puppeteer_select":
try {
await page.waitForSelector(args.selector);
await page.select(args.selector, args.value);
return {
content: [{
type: "text",
text: `Selected ${args.selector} with: ${args.value}`,
}],
isError: false,
};
} catch (error) {
return {
content: [{
type: "text",
text: `Failed to select ${args.selector}: ${(error as Error).message}`,
}],
isError: true,
};
}
case "puppeteer_hover":
try {
await page.waitForSelector(args.selector);
await page.hover(args.selector);
return {
content: [{
type: "text",
text: `Hovered ${args.selector}`,
}],
isError: false,
};
} catch (error) {
return {
content: [{
type: "text",
text: `Failed to hover ${args.selector}: ${(error as Error).message}`,
}],
isError: true,
};
}
case "puppeteer_evaluate":
try {
await page.evaluate(() => {
window.mcpHelper = {
logs: [],
originalConsole: { ...console },
};
['log', 'info', 'warn', 'error'].forEach(method => {
(console as any)[method] = (...args: any[]) => {
window.mcpHelper.logs.push(`[${method}] ${args.join(' ')}`);
(window.mcpHelper.originalConsole as any)[method](...args);
};
});
});
const result = await page.evaluate(args.script);
const logs = await page.evaluate(() => {
Object.assign(console, window.mcpHelper.originalConsole);
const logs = window.mcpHelper.logs;
delete (window as any).mcpHelper;
return logs;
});
return {
content: [
{
type: "text",
text: `Execution result:\n${JSON.stringify(result, null, 2)}\n\nConsole output:\n${logs.join('\n')}`,
},
],
isError: false,
};
} catch (error) {
return {
content: [{
type: "text",
text: `Script execution failed: ${(error as Error).message}`,
}],
isError: true,
};
}
default:
return {
content: [{
type: "text",
text: `Unknown tool: ${name}`,
}],
isError: true,
};
}
}
const server = new Server(
{
name: "example-servers/puppeteer",
version: "0.1.0",
},
{
capabilities: {
resources: {},
tools: {},
},
},
);
// Setup request handlers
server.setRequestHandler(ListResourcesRequestSchema, async () => ({
resources: [
{
uri: "console://logs",
mimeType: "text/plain",
name: "Browser console logs",
},
...Array.from(screenshots.keys()).map(name => ({
uri: `screenshot://${name}`,
mimeType: "image/png",
name: `Screenshot: ${name}`,
})),
],
}));
server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
const uri = request.params.uri.toString();
if (uri === "console://logs") {
return {
contents: [{
uri,
mimeType: "text/plain",
text: consoleLogs.join("\n"),
}],
};
}
if (uri.startsWith("screenshot://")) {
const name = uri.split("://")[1];
const screenshot = screenshots.get(name);
if (screenshot) {
return {
contents: [{
uri,
mimeType: "image/png",
blob: screenshot,
}],
};
}
}
throw new Error(`Resource not found: ${uri}`);
});
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: TOOLS,
}));
server.setRequestHandler(CallToolRequestSchema, async (request) =>
handleToolCall(request.params.name, request.params.arguments ?? {})
);
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
}
runServer().catch(console.error);
process.stdin.on("close", () => {
console.error("Puppeteer MCP Server closed");
server.close();
});

29
src/puppeteer/package.json
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@@ -1,29 +0,0 @@
{
"name": "@modelcontextprotocol/server-puppeteer",
"version": "0.6.2",
"description": "MCP server for browser automation using Puppeteer",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-puppeteer": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"puppeteer": "^23.4.0"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

10
src/puppeteer/tsconfig.json
View File

@@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

23
src/redis/Dockerfile
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@@ -1,23 +0,0 @@
FROM node:22.12-alpine as builder
COPY src/redis /app
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN npm run build
FROM node:22-alpine AS release
COPY --from=builder /app/build /app/build
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "build/index.js"]

165
src/redis/README.md
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@@ -1,165 +0,0 @@
# Redis
A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
## Prerequisites
1. Redis server must be installed and running
- [Download Redis](https://redis.io/download)
- For Windows users: Use [Windows Subsystem for Linux (WSL)](https://redis.io/docs/getting-started/installation/install-redis-on-windows/) or [Memurai](https://www.memurai.com/) (Redis-compatible Windows server)
- Default port: 6379
## Common Issues & Solutions
### Connection Errors
**ECONNREFUSED**
- **Cause**: Redis/Memurai server is not running or unreachable
- **Solution**:
- Verify server is running:
- Redis: `redis-cli ping` should return "PONG"
- Memurai (Windows): `memurai-cli ping` should return "PONG"
- Check service status:
- Linux: `systemctl status redis`
- macOS: `brew services list`
- Windows: Check Memurai in Services (services.msc)
- Ensure correct port (default 6379) is not blocked by firewall
- Verify Redis URL format: `redis://hostname:port`
- If `redis://localhost:6379` fails with ECONNREFUSED, try using the explicit IP: `redis://127.0.0.1:6379`
### Server Behavior
- The server implements exponential backoff with a maximum of 5 retries
- Initial retry delay: 1 second, maximum delay: 30 seconds
- Server will exit after max retries to prevent infinite reconnection loops
## Components
### Tools
- **set**
- Set a Redis key-value pair with optional expiration
- Input:
- `key` (string): Redis key
- `value` (string): Value to store
- `expireSeconds` (number, optional): Expiration time in seconds
- **get**
- Get value by key from Redis
- Input: `key` (string): Redis key to retrieve
- **delete**
- Delete one or more keys from Redis
- Input: `key` (string | string[]): Key or array of keys to delete
- **list**
- List Redis keys matching a pattern
- Input: `pattern` (string, optional): Pattern to match keys (default: *)
## Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your `claude_desktop_config.json`:
### Docker
* when running docker on macos, use host.docker.internal if the server is running on the host network (eg localhost)
* Redis URL can be specified as an argument, defaults to "redis://localhost:6379" (use "redis://127.0.0.1:6379" if localhost fails)
```json
{
"mcpServers": {
"redis": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/redis",
"redis://host.docker.internal:6379"]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"redis": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-redis",
"redis://localhost:6379"
]
}
}
}
```
## Usage with VS Code
For quick installation, use one of the one-click install buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=redis&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22redis_url%22%2C%22description%22%3A%22Redis%20URL%20(e.g.%20redis%3A%2F%2Flocalhost%3A6379)%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-redis%22%5D%2C%22env%22%3A%7B%22REDIS_URL%22%3A%22%24%7Binput%3Aredis_url%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=redis&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22redis_url%22%2C%22description%22%3A%22Redis%20URL%20(e.g.%20redis%3A%2F%2Flocalhost%3A6379)%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-redis%22%5D%2C%22env%22%3A%7B%22REDIS_URL%22%3A%22%24%7Binput%3Aredis_url%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=redis&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22redis_url%22%2C%22description%22%3A%22Redis%20URL%20(e.g.%20redis%3A%2F%2Fhost.docker.internal%3A6379)%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fredis%22%5D%2C%22env%22%3A%7B%22REDIS_URL%22%3A%22%24%7Binput%3Aredis_url%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=redis&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22redis_url%22%2C%22description%22%3A%22Redis%20URL%20(e.g.%20redis%3A%2F%2Fhost.docker.internal%3A6379)%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fredis%22%5D%2C%22env%22%3A%7B%22REDIS_URL%22%3A%22%24%7Binput%3Aredis_url%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "redis_url",
"description": "Redis URL (e.g. redis://localhost:6379)"
}
],
"servers": {
"redis": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-redis"],
"env": {
"REDIS_URL": "${input:redis_url}"
}
}
}
}
}
```
For Docker installation:
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "redis_url",
"description": "Redis URL (e.g. redis://host.docker.internal:6379)"
}
],
"servers": {
"redis": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/redis"],
"env": {
"REDIS_URL": "${input:redis_url}"
}
}
}
}
}
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

31
src/redis/package.json
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@@ -1,31 +0,0 @@
{
"name": "@modelcontextprotocol/server-redis",
"version": "0.1.1",
"description": "MCP server for using Redis",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-redis": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "^1.7.0",
"@types/node": "^22.10.2",
"@types/redis": "^4.0.10",
"redis": "^4.7.0"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.7.2"
}
}

291
src/redis/src/index.ts
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@@ -1,291 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { z } from "zod";
import { createClient } from 'redis';
// Configuration
const REDIS_URL = process.argv[2] || "redis://localhost:6379";
const MAX_RETRIES = 5;
const MIN_RETRY_DELAY = 1000; // 1 second
const MAX_RETRY_DELAY = 30000; // 30 seconds
// Create Redis client with retry strategy
const redisClient = createClient({
url: REDIS_URL,
socket: {
reconnectStrategy: (retries) => {
if (retries >= MAX_RETRIES) {
console.error(`[Redis Error] Maximum retries (${MAX_RETRIES}) reached. Giving up.`);
console.error(`[Redis Error] Connection: ${REDIS_URL}`);
return new Error('Max retries reached');
}
const delay = Math.min(Math.pow(2, retries) * MIN_RETRY_DELAY, MAX_RETRY_DELAY);
console.error(`[Redis Retry] Attempt ${retries + 1}/${MAX_RETRIES} failed`);
console.error(`[Redis Retry] Next attempt in ${delay}ms`);
console.error(`[Redis Retry] Connection: ${REDIS_URL}`);
return delay;
}
}
});
// Define Zod schemas for validation
const SetArgumentsSchema = z.object({
key: z.string(),
value: z.string(),
expireSeconds: z.number().optional(),
});
const GetArgumentsSchema = z.object({
key: z.string(),
});
const DeleteArgumentsSchema = z.object({
key: z.string().or(z.array(z.string())),
});
const ListArgumentsSchema = z.object({
pattern: z.string().default("*"),
});
// Create server instance
const server = new Server(
{
name: "redis",
version: "0.0.1"
},
{
capabilities: {
tools: {}
}
}
);
// List available tools
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: "set",
description: "Set a Redis key-value pair with optional expiration",
inputSchema: {
type: "object",
properties: {
key: {
type: "string",
description: "Redis key",
},
value: {
type: "string",
description: "Value to store",
},
expireSeconds: {
type: "number",
description: "Optional expiration time in seconds",
},
},
required: ["key", "value"],
},
},
{
name: "get",
description: "Get value by key from Redis",
inputSchema: {
type: "object",
properties: {
key: {
type: "string",
description: "Redis key to retrieve",
},
},
required: ["key"],
},
},
{
name: "delete",
description: "Delete one or more keys from Redis",
inputSchema: {
type: "object",
properties: {
key: {
oneOf: [
{ type: "string" },
{ type: "array", items: { type: "string" } }
],
description: "Key or array of keys to delete",
},
},
required: ["key"],
},
},
{
name: "list",
description: "List Redis keys matching a pattern",
inputSchema: {
type: "object",
properties: {
pattern: {
type: "string",
description: "Pattern to match keys (default: *)",
},
},
},
},
],
};
});
// Handle tool execution
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
try {
if (name === "set") {
const { key, value, expireSeconds } = SetArgumentsSchema.parse(args);
if (expireSeconds) {
await redisClient.setEx(key, expireSeconds, value);
} else {
await redisClient.set(key, value);
}
return {
content: [
{
type: "text",
text: `Successfully set key: ${key}`,
},
],
};
} else if (name === "get") {
const { key } = GetArgumentsSchema.parse(args);
const value = await redisClient.get(key);
if (value === null) {
return {
content: [
{
type: "text",
text: `Key not found: ${key}`,
},
],
};
}
return {
content: [
{
type: "text",
text: `${value}`,
},
],
};
} else if (name === "delete") {
const { key } = DeleteArgumentsSchema.parse(args);
if (Array.isArray(key)) {
await redisClient.del(key);
return {
content: [
{
type: "text",
text: `Successfully deleted ${key.length} keys`,
},
],
};
} else {
await redisClient.del(key);
return {
content: [
{
type: "text",
text: `Successfully deleted key: ${key}`,
},
],
};
}
} else if (name === "list") {
const { pattern } = ListArgumentsSchema.parse(args);
const keys = await redisClient.keys(pattern);
return {
content: [
{
type: "text",
text: keys.length > 0
? `Found keys:\n${keys.join('\n')}`
: "No keys found matching pattern",
},
],
};
} else {
throw new Error(`Unknown tool: ${name}`);
}
} catch (error) {
if (error instanceof z.ZodError) {
throw new Error(
`Invalid arguments: ${error.errors
.map((e) => `${e.path.join(".")}: ${e.message}`)
.join(", ")}`
);
}
throw error;
}
});
// Set up Redis event handlers
redisClient.on('error', (err: Error) => {
console.error(`[Redis Error] ${err.name}: ${err.message}`);
console.error(`[Redis Error] Connection: ${REDIS_URL}`);
console.error(`[Redis Error] Stack: ${err.stack}`);
});
redisClient.on('connect', () => {
console.error(`[Redis Connected] Successfully connected to ${REDIS_URL}`);
});
redisClient.on('reconnecting', () => {
console.error('[Redis Reconnecting] Connection lost, attempting to reconnect...');
});
redisClient.on('end', () => {
console.error('[Redis Disconnected] Connection closed');
});
async function runServer() {
try {
// Connect to Redis
await redisClient.connect();
// Set up MCP server
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Redis MCP Server running on stdio");
} catch (error) {
const err = error as Error;
console.error("[Redis Fatal] Server initialization failed");
console.error(`[Redis Fatal] Error: ${err.name}: ${err.message}`);
console.error(`[Redis Fatal] Connection: ${REDIS_URL}`);
console.error(`[Redis Fatal] Stack: ${err.stack}`);
await redisClient.quit().catch(() => {});
process.exit(1);
}
}
// Handle process termination
process.on('SIGINT', async () => {
await redisClient.quit().catch(() => {});
process.exit(0);
});
process.on('SIGTERM', async () => {
await redisClient.quit().catch(() => {});
process.exit(0);
});
runServer();

15
src/redis/tsconfig.json
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@@ -1,15 +0,0 @@
{
"compilerOptions": {
"target": "ES2022",
"module": "Node16",
"moduleResolution": "Node16",
"outDir": "./dist",
"rootDir": "./src",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true
},
"include": ["src/**/*"],
"exclude": ["node_modules"]
}

1
src/sentry/.python-version
View File

@@ -1 +0,0 @@
3.10

37
src/sentry/Dockerfile
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@@ -1,37 +0,0 @@
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-sentry"]

219
src/sentry/README.md
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@@ -1,219 +0,0 @@
# mcp-server-sentry: A Sentry MCP server
## Overview
A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.
### Tools
1. `get_sentry_issue`
- Retrieve and analyze a Sentry issue by ID or URL
- Input:
- `issue_id_or_url` (string): Sentry issue ID or URL to analyze
- Returns: Issue details including:
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Full stacktrace
### Prompts
1. `sentry-issue`
- Retrieve issue details from Sentry
- Input:
- `issue_id_or_url` (string): Sentry issue ID or URL
- Returns: Formatted issue details as conversation context
## Installation
### Using uv (recommended)
When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will
use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-sentry*.
### Using PIP
Alternatively you can install `mcp-server-sentry` via pip:
```
pip install mcp-server-sentry
```
After installation, you can run it as a script using:
```
python -m mcp_server_sentry
```
## Configuration
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
<details>
<summary>Using uvx</summary>
```json
"mcpServers": {
"sentry": {
"command": "uvx",
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
```
</details>
<details>
<details>
<summary>Using docker</summary>
```json
"mcpServers": {
"sentry": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"mcpServers": {
"sentry": {
"command": "python",
"args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
```
</details>
### Usage with VS Code
For quick installation, use one of the one-click installation buttons below...
[![Install with UV in VS Code](https://img.shields.io/badge/VS_Code-UV-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sentry&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22auth_token%22%2C%22description%22%3A%22Sentry%20Auth%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-sentry%22%5D%2C%22env%22%3A%7B%22SENTRY_AUTH_TOKEN%22%3A%22%24%7Binput%3Aauth_token%7D%22%7D%7D) [![Install with UV in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-UV-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sentry&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22auth_token%22%2C%22description%22%3A%22Sentry%20Auth%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-sentry%22%5D%2C%22env%22%3A%7B%22SENTRY_AUTH_TOKEN%22%3A%22%24%7Binput%3Aauth_token%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sentry&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22auth_token%22%2C%22description%22%3A%22Sentry%20Auth%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fsentry%22%5D%2C%22env%22%3A%7B%22SENTRY_AUTH_TOKEN%22%3A%22%24%7Binput%3Aauth_token%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sentry&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22auth_token%22%2C%22description%22%3A%22Sentry%20Auth%20Token%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fsentry%22%5D%2C%22env%22%3A%7B%22SENTRY_AUTH_TOKEN%22%3A%22%24%7Binput%3Aauth_token%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is needed when using the `mcp.json` file.
<details>
<summary>Using uvx</summary>
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "auth_token",
"description": "Sentry Auth Token",
"password": true
}
],
"servers": {
"sentry": {
"command": "uvx",
"args": ["mcp-server-sentry"],
"env": {
"SENTRY_AUTH_TOKEN": "${input:auth_token}"
}
}
}
}
}
```
</details>
<details>
<summary>Using docker</summary>
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "auth_token",
"description": "Sentry Auth Token",
"password": true
}
],
"servers": {
"sentry": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/sentry"],
"env": {
"SENTRY_AUTH_TOKEN": "${input:auth_token}"
}
}
}
}
}
```
</details>
### Usage with [Zed](https://github.com/zed-industries/zed)
Add to your Zed settings.json:
<details>
<summary>Using uvx</summary>
```json
"context_servers": [
"mcp-server-sentry": {
"command": {
"path": "uvx",
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
],
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"context_servers": {
"mcp-server-sentry": {
"command": "python",
"args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
},
```
</details>
## Debugging
You can use the MCP inspector to debug the server. For uvx installations:
```
npx @modelcontextprotocol/inspector uvx mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN
```
Or if you've installed the package in a specific directory or are developing on it:
```
cd path/to/servers/src/sentry
npx @modelcontextprotocol/inspector uv run mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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src/sentry/pyproject.toml
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@@ -1,17 +0,0 @@
[project]
name = "mcp-server-sentry"
version = "0.6.2"
description = "MCP server for retrieving issues from sentry.io"
readme = "README.md"
requires-python = ">=3.10"
dependencies = ["mcp>=1.0.0"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = ["pyright>=1.1.389", "pytest>=8.3.3", "ruff>=0.8.0"]
[project.scripts]
mcp-server-sentry = "mcp_server_sentry:main"

11
src/sentry/src/mcp_server_sentry/__init__.py
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@@ -1,11 +0,0 @@
from . import server
import asyncio
def main():
"""Main entry point for the package."""
asyncio.run(server.main())
# Optionally expose other important items at package level
__all__ = ["main", "server"]

4
src/sentry/src/mcp_server_sentry/__main__.py
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@@ -1,4 +0,0 @@
from mcp_server_sentry.server import main
if __name__ == "__main__":
main()

285
src/sentry/src/mcp_server_sentry/server.py
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@@ -1,285 +0,0 @@
import asyncio
from dataclasses import dataclass
from urllib.parse import urlparse
import click
import httpx
import mcp.types as types
from mcp.server import NotificationOptions, Server
from mcp.server.models import InitializationOptions
from mcp.shared.exceptions import McpError
import mcp.server.stdio
SENTRY_API_BASE = "https://sentry.io/api/0/"
MISSING_AUTH_TOKEN_MESSAGE = (
"""Sentry authentication token not found. Please specify your Sentry auth token."""
)
@dataclass
class SentryIssueData:
title: str
issue_id: str
status: str
level: str
first_seen: str
last_seen: str
count: int
stacktrace: str
def to_text(self) -> str:
return f"""
Sentry Issue: {self.title}
Issue ID: {self.issue_id}
Status: {self.status}
Level: {self.level}
First Seen: {self.first_seen}
Last Seen: {self.last_seen}
Event Count: {self.count}
{self.stacktrace}
"""
def to_prompt_result(self) -> types.GetPromptResult:
return types.GetPromptResult(
description=f"Sentry Issue: {self.title}",
messages=[
types.PromptMessage(
role="user", content=types.TextContent(type="text", text=self.to_text())
)
],
)
def to_tool_result(self) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
return [types.TextContent(type="text", text=self.to_text())]
class SentryError(Exception):
pass
def extract_issue_id(issue_id_or_url: str) -> str:
"""
Extracts the Sentry issue ID from either a full URL or a standalone ID.
This function validates the input and returns the numeric issue ID.
It raises SentryError for invalid inputs, including empty strings,
non-Sentry URLs, malformed paths, and non-numeric IDs.
"""
if not issue_id_or_url:
raise SentryError("Missing issue_id_or_url argument")
if issue_id_or_url.startswith(("http://", "https://")):
parsed_url = urlparse(issue_id_or_url)
if not parsed_url.hostname or not parsed_url.hostname.endswith(".sentry.io"):
raise SentryError("Invalid Sentry URL. Must be a URL ending with .sentry.io")
path_parts = parsed_url.path.strip("/").split("/")
if len(path_parts) < 2 or path_parts[0] != "issues":
raise SentryError(
"Invalid Sentry issue URL. Path must contain '/issues/{issue_id}'"
)
issue_id = path_parts[-1]
else:
issue_id = issue_id_or_url
if not issue_id.isdigit():
raise SentryError("Invalid Sentry issue ID. Must be a numeric value.")
return issue_id
def create_stacktrace(latest_event: dict) -> str:
"""
Creates a formatted stacktrace string from the latest Sentry event.
This function extracts exception information and stacktrace details from the
provided event dictionary, formatting them into a human-readable string.
It handles multiple exceptions and includes file, line number, and function
information for each frame in the stacktrace.
Args:
latest_event (dict): A dictionary containing the latest Sentry event data.
Returns:
str: A formatted string containing the stacktrace information,
or "No stacktrace found" if no relevant data is present.
"""
stacktraces = []
for entry in latest_event.get("entries", []):
if entry["type"] != "exception":
continue
exception_data = entry["data"]["values"]
for exception in exception_data:
exception_type = exception.get("type", "Unknown")
exception_value = exception.get("value", "")
stacktrace = exception.get("stacktrace")
stacktrace_text = f"Exception: {exception_type}: {exception_value}\n\n"
if stacktrace:
stacktrace_text += "Stacktrace:\n"
for frame in stacktrace.get("frames", []):
filename = frame.get("filename", "Unknown")
lineno = frame.get("lineNo", "?")
function = frame.get("function", "Unknown")
stacktrace_text += f"{filename}:{lineno} in {function}\n"
if "context" in frame:
context = frame["context"]
for ctx_line in context:
stacktrace_text += f" {ctx_line[1]}\n"
stacktrace_text += "\n"
stacktraces.append(stacktrace_text)
return "\n".join(stacktraces) if stacktraces else "No stacktrace found"
async def handle_sentry_issue(
http_client: httpx.AsyncClient, auth_token: str, issue_id_or_url: str
) -> SentryIssueData:
try:
issue_id = extract_issue_id(issue_id_or_url)
response = await http_client.get(
f"issues/{issue_id}/", headers={"Authorization": f"Bearer {auth_token}"}
)
if response.status_code == 401:
raise McpError(
"Error: Unauthorized. Please check your MCP_SENTRY_AUTH_TOKEN token."
)
response.raise_for_status()
issue_data = response.json()
# Get issue hashes
hashes_response = await http_client.get(
f"issues/{issue_id}/hashes/",
headers={"Authorization": f"Bearer {auth_token}"},
)
hashes_response.raise_for_status()
hashes = hashes_response.json()
if not hashes:
raise McpError("No Sentry events found for this issue")
latest_event = hashes[0]["latestEvent"]
stacktrace = create_stacktrace(latest_event)
return SentryIssueData(
title=issue_data["title"],
issue_id=issue_id,
status=issue_data["status"],
level=issue_data["level"],
first_seen=issue_data["firstSeen"],
last_seen=issue_data["lastSeen"],
count=issue_data["count"],
stacktrace=stacktrace
)
except SentryError as e:
raise McpError(str(e))
except httpx.HTTPStatusError as e:
raise McpError(f"Error fetching Sentry issue: {str(e)}")
except Exception as e:
raise McpError(f"An error occurred: {str(e)}")
async def serve(auth_token: str) -> Server:
server = Server("sentry")
http_client = httpx.AsyncClient(base_url=SENTRY_API_BASE)
@server.list_prompts()
async def handle_list_prompts() -> list[types.Prompt]:
return [
types.Prompt(
name="sentry-issue",
description="Retrieve a Sentry issue by ID or URL",
arguments=[
types.PromptArgument(
name="issue_id_or_url",
description="Sentry issue ID or URL",
required=True,
)
],
)
]
@server.get_prompt()
async def handle_get_prompt(
name: str, arguments: dict[str, str] | None
) -> types.GetPromptResult:
if name != "sentry-issue":
raise ValueError(f"Unknown prompt: {name}")
issue_id_or_url = (arguments or {}).get("issue_id_or_url", "")
issue_data = await handle_sentry_issue(http_client, auth_token, issue_id_or_url)
return issue_data.to_prompt_result()
@server.list_tools()
async def handle_list_tools() -> list[types.Tool]:
return [
types.Tool(
name="get_sentry_issue",
description="""Retrieve and analyze a Sentry issue by ID or URL. Use this tool when you need to:
- Investigate production errors and crashes
- Access detailed stacktraces from Sentry
- Analyze error patterns and frequencies
- Get information about when issues first/last occurred
- Review error counts and status""",
inputSchema={
"type": "object",
"properties": {
"issue_id_or_url": {
"type": "string",
"description": "Sentry issue ID or URL to analyze"
}
},
"required": ["issue_id_or_url"]
}
)
]
@server.call_tool()
async def handle_call_tool(
name: str, arguments: dict | None
) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
if name != "get_sentry_issue":
raise ValueError(f"Unknown tool: {name}")
if not arguments or "issue_id_or_url" not in arguments:
raise ValueError("Missing issue_id_or_url argument")
issue_data = await handle_sentry_issue(http_client, auth_token, arguments["issue_id_or_url"])
return issue_data.to_tool_result()
return server
@click.command()
@click.option(
"--auth-token",
envvar="SENTRY_TOKEN",
required=True,
help="Sentry authentication token",
)
def main(auth_token: str):
async def _run():
async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):
server = await serve(auth_token)
await server.run(
read_stream,
write_stream,
InitializationOptions(
server_name="sentry",
server_version="0.4.1",
capabilities=server.get_capabilities(
notification_options=NotificationOptions(),
experimental_capabilities={},
),
),
)
asyncio.run(_run())

439
src/sentry/uv.lock generated
View File

@@ -1,439 +0,0 @@
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25
src/slack/Dockerfile
View File

@@ -1,25 +0,0 @@
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/slack /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

245
src/slack/README.md
View File

@@ -1,245 +0,0 @@
# Slack MCP Server
MCP Server for the Slack API, enabling Claude to interact with Slack workspaces.
## Tools
1. `slack_list_channels`
- List public or pre-defined channels in the workspace
- Optional inputs:
- `limit` (number, default: 100, max: 200): Maximum number of channels to return
- `cursor` (string): Pagination cursor for next page
- Returns: List of channels with their IDs and information
2. `slack_post_message`
- Post a new message to a Slack channel
- Required inputs:
- `channel_id` (string): The ID of the channel to post to
- `text` (string): The message text to post
- Returns: Message posting confirmation and timestamp
3. `slack_reply_to_thread`
- Reply to a specific message thread
- Required inputs:
- `channel_id` (string): The channel containing the thread
- `thread_ts` (string): Timestamp of the parent message
- `text` (string): The reply text
- Returns: Reply confirmation and timestamp
4. `slack_add_reaction`
- Add an emoji reaction to a message
- Required inputs:
- `channel_id` (string): The channel containing the message
- `timestamp` (string): Message timestamp to react to
- `reaction` (string): Emoji name without colons
- Returns: Reaction confirmation
5. `slack_get_channel_history`
- Get recent messages from a channel
- Required inputs:
- `channel_id` (string): The channel ID
- Optional inputs:
- `limit` (number, default: 10): Number of messages to retrieve
- Returns: List of messages with their content and metadata
6. `slack_get_thread_replies`
- Get all replies in a message thread
- Required inputs:
- `channel_id` (string): The channel containing the thread
- `thread_ts` (string): Timestamp of the parent message
- Returns: List of replies with their content and metadata
7. `slack_get_users`
- Get list of workspace users with basic profile information
- Optional inputs:
- `cursor` (string): Pagination cursor for next page
- `limit` (number, default: 100, max: 200): Maximum users to return
- Returns: List of users with their basic profiles
8. `slack_get_user_profile`
- Get detailed profile information for a specific user
- Required inputs:
- `user_id` (string): The user's ID
- Returns: Detailed user profile information
## Setup
1. Create a Slack App:
- Visit the [Slack Apps page](https://api.slack.com/apps)
- Click "Create New App"
- Choose "From scratch"
- Name your app and select your workspace
2. Configure Bot Token Scopes:
Navigate to "OAuth & Permissions" and add these scopes:
- `channels:history` - View messages and other content in public channels
- `channels:read` - View basic channel information
- `chat:write` - Send messages as the app
- `reactions:write` - Add emoji reactions to messages
- `users:read` - View users and their basic information
- `users.profile:read` - View detailed profiles about users
4. Install App to Workspace:
- Click "Install to Workspace" and authorize the app
- Save the "Bot User OAuth Token" that starts with `xoxb-`
5. Get your Team ID (starts with a `T`) by following [this guidance](https://slack.com/help/articles/221769328-Locate-your-Slack-URL-or-ID#find-your-workspace-or-org-id)
### Usage with Claude Desktop
Add the following to your `claude_desktop_config.json`:
#### NPX
```json
{
"mcpServers": {
"slack": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-slack"
],
"env": {
"SLACK_BOT_TOKEN": "xoxb-your-bot-token",
"SLACK_TEAM_ID": "T01234567",
"SLACK_CHANNEL_IDS": "C01234567, C76543210"
}
}
}
}
```
#### docker
```json
{
"mcpServers": {
"slack": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"SLACK_BOT_TOKEN",
"-e",
"SLACK_TEAM_ID",
"-e",
"SLACK_CHANNEL_IDS",
"mcp/slack"
],
"env": {
"SLACK_BOT_TOKEN": "xoxb-your-bot-token",
"SLACK_TEAM_ID": "T01234567",
"SLACK_CHANNEL_IDS": "C01234567, C76543210"
}
}
}
}
```
### Usage with VS Code
For quick installation, click one of the installation buttons below...
[![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=slack&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_bot_token%22%2C%22description%22%3A%22Slack%20Bot%20Token%20(starts%20with%20xoxb-)%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_team_id%22%2C%22description%22%3A%22Slack%20Team%20ID%20(starts%20with%20T)%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-slack%22%5D%2C%22env%22%3A%7B%22SLACK_BOT_TOKEN%22%3A%22%24%7Binput%3Aslack_bot_token%7D%22%2C%22SLACK_TEAM_ID%22%3A%22%24%7Binput%3Aslack_team_id%7D%22%7D%7D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=slack&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_bot_token%22%2C%22description%22%3A%22Slack%20Bot%20Token%20(starts%20with%20xoxb-)%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_team_id%22%2C%22description%22%3A%22Slack%20Team%20ID%20(starts%20with%20T)%22%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40modelcontextprotocol%2Fserver-slack%22%5D%2C%22env%22%3A%7B%22SLACK_BOT_TOKEN%22%3A%22%24%7Binput%3Aslack_bot_token%7D%22%2C%22SLACK_TEAM_ID%22%3A%22%24%7Binput%3Aslack_team_id%7D%22%7D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=slack&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_bot_token%22%2C%22description%22%3A%22Slack%20Bot%20Token%20(starts%20with%20xoxb-)%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_team_id%22%2C%22description%22%3A%22Slack%20Team%20ID%20(starts%20with%20T)%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fslack%22%5D%2C%22env%22%3A%7B%22SLACK_BOT_TOKEN%22%3A%22%24%7Binput%3Aslack_bot_token%7D%22%2C%22SLACK_TEAM_ID%22%3A%22%24%7Binput%3Aslack_team_id%7D%22%7D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=slack&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_bot_token%22%2C%22description%22%3A%22Slack%20Bot%20Token%20(starts%20with%20xoxb-)%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22slack_team_id%22%2C%22description%22%3A%22Slack%20Team%20ID%20(starts%20with%20T)%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22mcp%2Fslack%22%5D%2C%22env%22%3A%7B%22SLACK_BOT_TOKEN%22%3A%22%24%7Binput%3Aslack_bot_token%7D%22%2C%22SLACK_TEAM_ID%22%3A%22%24%7Binput%3Aslack_team_id%7D%22%7D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is not needed in the `.vscode/mcp.json` file.
#### NPX
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "slack_bot_token",
"description": "Slack Bot Token (starts with xoxb-)",
"password": true
},
{
"type": "promptString",
"id": "slack_team_id",
"description": "Slack Team ID (starts with T)"
}
],
"servers": {
"slack": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-slack"],
"env": {
"SLACK_BOT_TOKEN": "${input:slack_bot_token}",
"SLACK_TEAM_ID": "${input:slack_team_id}"
}
}
}
}
}
```
#### Docker
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "slack_bot_token",
"description": "Slack Bot Token (starts with xoxb-)",
"password": true
},
{
"type": "promptString",
"id": "slack_team_id",
"description": "Slack Team ID (starts with T)"
}
],
"servers": {
"slack": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/slack"],
"env": {
"SLACK_BOT_TOKEN": "${input:slack_bot_token}",
"SLACK_TEAM_ID": "${input:slack_team_id}"
}
}
}
}
}
```
### Environment Variables
1. `SLACK_BOT_TOKEN`: Required. The Bot User OAuth Token starting with `xoxb-`.
2. `SLACK_TEAM_ID`: Required. Your Slack workspace ID starting with `T`.
3. `SLACK_CHANNEL_IDS`: Optional. Comma-separated list of channel IDs to limit channel access (e.g., "C01234567, C76543210"). If not set, all public channels will be listed.
### Troubleshooting
If you encounter permission errors, verify that:
1. All required scopes are added to your Slack app
2. The app is properly installed to your workspace
3. The tokens and workspace ID are correctly copied to your configuration
4. The app has been added to the channels it needs to access
## Build
Docker build:
```bash
docker build -t mcp/slack -f src/slack/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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src/slack/index.ts
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@@ -1,582 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequest,
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
// Type definitions for tool arguments
interface ListChannelsArgs {
limit?: number;
cursor?: string;
}
interface PostMessageArgs {
channel_id: string;
text: string;
}
interface ReplyToThreadArgs {
channel_id: string;
thread_ts: string;
text: string;
}
interface AddReactionArgs {
channel_id: string;
timestamp: string;
reaction: string;
}
interface GetChannelHistoryArgs {
channel_id: string;
limit?: number;
}
interface GetThreadRepliesArgs {
channel_id: string;
thread_ts: string;
}
interface GetUsersArgs {
cursor?: string;
limit?: number;
}
interface GetUserProfileArgs {
user_id: string;
}
// Tool definitions
const listChannelsTool: Tool = {
name: "slack_list_channels",
description: "List public or pre-defined channels in the workspace with pagination",
inputSchema: {
type: "object",
properties: {
limit: {
type: "number",
description:
"Maximum number of channels to return (default 100, max 200)",
default: 100,
},
cursor: {
type: "string",
description: "Pagination cursor for next page of results",
},
},
},
};
const postMessageTool: Tool = {
name: "slack_post_message",
description: "Post a new message to a Slack channel",
inputSchema: {
type: "object",
properties: {
channel_id: {
type: "string",
description: "The ID of the channel to post to",
},
text: {
type: "string",
description: "The message text to post",
},
},
required: ["channel_id", "text"],
},
};
const replyToThreadTool: Tool = {
name: "slack_reply_to_thread",
description: "Reply to a specific message thread in Slack",
inputSchema: {
type: "object",
properties: {
channel_id: {
type: "string",
description: "The ID of the channel containing the thread",
},
thread_ts: {
type: "string",
description: "The timestamp of the parent message in the format '1234567890.123456'. Timestamps in the format without the period can be converted by adding the period such that 6 numbers come after it.",
},
text: {
type: "string",
description: "The reply text",
},
},
required: ["channel_id", "thread_ts", "text"],
},
};
const addReactionTool: Tool = {
name: "slack_add_reaction",
description: "Add a reaction emoji to a message",
inputSchema: {
type: "object",
properties: {
channel_id: {
type: "string",
description: "The ID of the channel containing the message",
},
timestamp: {
type: "string",
description: "The timestamp of the message to react to",
},
reaction: {
type: "string",
description: "The name of the emoji reaction (without ::)",
},
},
required: ["channel_id", "timestamp", "reaction"],
},
};
const getChannelHistoryTool: Tool = {
name: "slack_get_channel_history",
description: "Get recent messages from a channel",
inputSchema: {
type: "object",
properties: {
channel_id: {
type: "string",
description: "The ID of the channel",
},
limit: {
type: "number",
description: "Number of messages to retrieve (default 10)",
default: 10,
},
},
required: ["channel_id"],
},
};
const getThreadRepliesTool: Tool = {
name: "slack_get_thread_replies",
description: "Get all replies in a message thread",
inputSchema: {
type: "object",
properties: {
channel_id: {
type: "string",
description: "The ID of the channel containing the thread",
},
thread_ts: {
type: "string",
description: "The timestamp of the parent message in the format '1234567890.123456'. Timestamps in the format without the period can be converted by adding the period such that 6 numbers come after it.",
},
},
required: ["channel_id", "thread_ts"],
},
};
const getUsersTool: Tool = {
name: "slack_get_users",
description:
"Get a list of all users in the workspace with their basic profile information",
inputSchema: {
type: "object",
properties: {
cursor: {
type: "string",
description: "Pagination cursor for next page of results",
},
limit: {
type: "number",
description: "Maximum number of users to return (default 100, max 200)",
default: 100,
},
},
},
};
const getUserProfileTool: Tool = {
name: "slack_get_user_profile",
description: "Get detailed profile information for a specific user",
inputSchema: {
type: "object",
properties: {
user_id: {
type: "string",
description: "The ID of the user",
},
},
required: ["user_id"],
},
};
class SlackClient {
private botHeaders: { Authorization: string; "Content-Type": string };
constructor(botToken: string) {
this.botHeaders = {
Authorization: `Bearer ${botToken}`,
"Content-Type": "application/json",
};
}
async getChannels(limit: number = 100, cursor?: string): Promise<any> {
const predefinedChannelIds = process.env.SLACK_CHANNEL_IDS;
if (!predefinedChannelIds) {
const params = new URLSearchParams({
types: "public_channel",
exclude_archived: "true",
limit: Math.min(limit, 200).toString(),
team_id: process.env.SLACK_TEAM_ID!,
});
if (cursor) {
params.append("cursor", cursor);
}
const response = await fetch(
`https://slack.com/api/conversations.list?${params}`,
{ headers: this.botHeaders },
);
return response.json();
}
const predefinedChannelIdsArray = predefinedChannelIds.split(",").map((id: string) => id.trim());
const channels = [];
for (const channelId of predefinedChannelIdsArray) {
const params = new URLSearchParams({
channel: channelId,
});
const response = await fetch(
`https://slack.com/api/conversations.info?${params}`,
{ headers: this.botHeaders }
);
const data = await response.json();
if (data.ok && data.channel && !data.channel.is_archived) {
channels.push(data.channel);
}
}
return {
ok: true,
channels: channels,
response_metadata: { next_cursor: "" },
};
}
async postMessage(channel_id: string, text: string): Promise<any> {
const response = await fetch("https://slack.com/api/chat.postMessage", {
method: "POST",
headers: this.botHeaders,
body: JSON.stringify({
channel: channel_id,
text: text,
}),
});
return response.json();
}
async postReply(
channel_id: string,
thread_ts: string,
text: string,
): Promise<any> {
const response = await fetch("https://slack.com/api/chat.postMessage", {
method: "POST",
headers: this.botHeaders,
body: JSON.stringify({
channel: channel_id,
thread_ts: thread_ts,
text: text,
}),
});
return response.json();
}
async addReaction(
channel_id: string,
timestamp: string,
reaction: string,
): Promise<any> {
const response = await fetch("https://slack.com/api/reactions.add", {
method: "POST",
headers: this.botHeaders,
body: JSON.stringify({
channel: channel_id,
timestamp: timestamp,
name: reaction,
}),
});
return response.json();
}
async getChannelHistory(
channel_id: string,
limit: number = 10,
): Promise<any> {
const params = new URLSearchParams({
channel: channel_id,
limit: limit.toString(),
});
const response = await fetch(
`https://slack.com/api/conversations.history?${params}`,
{ headers: this.botHeaders },
);
return response.json();
}
async getThreadReplies(channel_id: string, thread_ts: string): Promise<any> {
const params = new URLSearchParams({
channel: channel_id,
ts: thread_ts,
});
const response = await fetch(
`https://slack.com/api/conversations.replies?${params}`,
{ headers: this.botHeaders },
);
return response.json();
}
async getUsers(limit: number = 100, cursor?: string): Promise<any> {
const params = new URLSearchParams({
limit: Math.min(limit, 200).toString(),
team_id: process.env.SLACK_TEAM_ID!,
});
if (cursor) {
params.append("cursor", cursor);
}
const response = await fetch(`https://slack.com/api/users.list?${params}`, {
headers: this.botHeaders,
});
return response.json();
}
async getUserProfile(user_id: string): Promise<any> {
const params = new URLSearchParams({
user: user_id,
include_labels: "true",
});
const response = await fetch(
`https://slack.com/api/users.profile.get?${params}`,
{ headers: this.botHeaders },
);
return response.json();
}
}
async function main() {
const botToken = process.env.SLACK_BOT_TOKEN;
const teamId = process.env.SLACK_TEAM_ID;
if (!botToken || !teamId) {
console.error(
"Please set SLACK_BOT_TOKEN and SLACK_TEAM_ID environment variables",
);
process.exit(1);
}
console.error("Starting Slack MCP Server...");
const server = new Server(
{
name: "Slack MCP Server",
version: "1.0.0",
},
{
capabilities: {
tools: {},
},
},
);
const slackClient = new SlackClient(botToken);
server.setRequestHandler(
CallToolRequestSchema,
async (request: CallToolRequest) => {
console.error("Received CallToolRequest:", request);
try {
if (!request.params.arguments) {
throw new Error("No arguments provided");
}
switch (request.params.name) {
case "slack_list_channels": {
const args = request.params
.arguments as unknown as ListChannelsArgs;
const response = await slackClient.getChannels(
args.limit,
args.cursor,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_post_message": {
const args = request.params.arguments as unknown as PostMessageArgs;
if (!args.channel_id || !args.text) {
throw new Error(
"Missing required arguments: channel_id and text",
);
}
const response = await slackClient.postMessage(
args.channel_id,
args.text,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_reply_to_thread": {
const args = request.params
.arguments as unknown as ReplyToThreadArgs;
if (!args.channel_id || !args.thread_ts || !args.text) {
throw new Error(
"Missing required arguments: channel_id, thread_ts, and text",
);
}
const response = await slackClient.postReply(
args.channel_id,
args.thread_ts,
args.text,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_add_reaction": {
const args = request.params.arguments as unknown as AddReactionArgs;
if (!args.channel_id || !args.timestamp || !args.reaction) {
throw new Error(
"Missing required arguments: channel_id, timestamp, and reaction",
);
}
const response = await slackClient.addReaction(
args.channel_id,
args.timestamp,
args.reaction,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_get_channel_history": {
const args = request.params
.arguments as unknown as GetChannelHistoryArgs;
if (!args.channel_id) {
throw new Error("Missing required argument: channel_id");
}
const response = await slackClient.getChannelHistory(
args.channel_id,
args.limit,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_get_thread_replies": {
const args = request.params
.arguments as unknown as GetThreadRepliesArgs;
if (!args.channel_id || !args.thread_ts) {
throw new Error(
"Missing required arguments: channel_id and thread_ts",
);
}
const response = await slackClient.getThreadReplies(
args.channel_id,
args.thread_ts,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_get_users": {
const args = request.params.arguments as unknown as GetUsersArgs;
const response = await slackClient.getUsers(
args.limit,
args.cursor,
);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
case "slack_get_user_profile": {
const args = request.params
.arguments as unknown as GetUserProfileArgs;
if (!args.user_id) {
throw new Error("Missing required argument: user_id");
}
const response = await slackClient.getUserProfile(args.user_id);
return {
content: [{ type: "text", text: JSON.stringify(response) }],
};
}
default:
throw new Error(`Unknown tool: ${request.params.name}`);
}
} catch (error) {
console.error("Error executing tool:", error);
return {
content: [
{
type: "text",
text: JSON.stringify({
error: error instanceof Error ? error.message : String(error),
}),
},
],
};
}
},
);
server.setRequestHandler(ListToolsRequestSchema, async () => {
console.error("Received ListToolsRequest");
return {
tools: [
listChannelsTool,
postMessageTool,
replyToThreadTool,
addReactionTool,
getChannelHistoryTool,
getThreadRepliesTool,
getUsersTool,
getUserProfileTool,
],
};
});
const transport = new StdioServerTransport();
console.error("Connecting server to transport...");
await server.connect(transport);
console.error("Slack MCP Server running on stdio");
}
main().catch((error) => {
console.error("Fatal error in main():", error);
process.exit(1);
});

29
src/slack/package.json
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@@ -1,29 +0,0 @@
{
"name": "@modelcontextprotocol/server-slack",
"version": "0.6.2",
"description": "MCP server for interacting with Slack",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-slack": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

11
src/slack/tsconfig.json
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@@ -1,11 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

1
src/sqlite/.python-version
View File

@@ -1 +0,0 @@
3.10

37
src/sqlite/Dockerfile
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@@ -1,37 +0,0 @@
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-sqlite"]

196
src/sqlite/README.md
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@@ -1,196 +0,0 @@
# SQLite MCP Server
## Overview
A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.
## Components
### Resources
The server exposes a single dynamic resource:
- `memo://insights`: A continuously updated business insights memo that aggregates discovered insights during analysis
- Auto-updates as new insights are discovered via the append-insight tool
### Prompts
The server provides a demonstration prompt:
- `mcp-demo`: Interactive prompt that guides users through database operations
- Required argument: `topic` - The business domain to analyze
- Generates appropriate database schemas and sample data
- Guides users through analysis and insight generation
- Integrates with the business insights memo
### Tools
The server offers six core tools:
#### Query Tools
- `read_query`
- Execute SELECT queries to read data from the database
- Input:
- `query` (string): The SELECT SQL query to execute
- Returns: Query results as array of objects
- `write_query`
- Execute INSERT, UPDATE, or DELETE queries
- Input:
- `query` (string): The SQL modification query
- Returns: `{ affected_rows: number }`
- `create_table`
- Create new tables in the database
- Input:
- `query` (string): CREATE TABLE SQL statement
- Returns: Confirmation of table creation
#### Schema Tools
- `list_tables`
- Get a list of all tables in the database
- No input required
- Returns: Array of table names
- `describe-table`
- View schema information for a specific table
- Input:
- `table_name` (string): Name of table to describe
- Returns: Array of column definitions with names and types
#### Analysis Tools
- `append_insight`
- Add new business insights to the memo resource
- Input:
- `insight` (string): Business insight discovered from data analysis
- Returns: Confirmation of insight addition
- Triggers update of memo://insights resource
## Usage with Claude Desktop
### uv
```bash
# Add the server to your claude_desktop_config.json
"mcpServers": {
"sqlite": {
"command": "uv",
"args": [
"--directory",
"parent_of_servers_repo/servers/src/sqlite",
"run",
"mcp-server-sqlite",
"--db-path",
"~/test.db"
]
}
}
```
### Docker
```json
# Add the server to your claude_desktop_config.json
"mcpServers": {
"sqlite": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v",
"mcp-test:/mcp",
"mcp/sqlite",
"--db-path",
"/mcp/test.db"
]
}
}
```
## Usage with VS Code
For quick installation, click the installation buttons below:
[![Install with UV in VS Code](https://img.shields.io/badge/VS_Code-UV-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sqlite&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22db_path%22%2C%22description%22%3A%22SQLite%20Database%20Path%22%2C%22default%22%3A%22%24%7BworkspaceFolder%7D%2Fdb.sqlite%22%7D%5D&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-sqlite%22%2C%22--db-path%22%2C%22%24%7Binput%3Adb_path%7D%22%5D%7D) [![Install with UV in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-UV-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sqlite&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22db_path%22%2C%22description%22%3A%22SQLite%20Database%20Path%22%2C%22default%22%3A%22%24%7BworkspaceFolder%7D%2Fdb.sqlite%22%7D%5D&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22mcp-server-sqlite%22%2C%22--db-path%22%2C%22%24%7Binput%3Adb_path%7D%22%5D%7D&quality=insiders)
[![Install with Docker in VS Code](https://img.shields.io/badge/VS_Code-Docker-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sqlite&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22db_path%22%2C%22description%22%3A%22SQLite%20Database%20Path%20(within%20container)%22%2C%22default%22%3A%22%2Fmcp%2Fdb.sqlite%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-v%22%2C%22mcp-sqlite%3A%2Fmcp%22%2C%22mcp%2Fsqlite%22%2C%22--db-path%22%2C%22%24%7Binput%3Adb_path%7D%22%5D%7D) [![Install with Docker in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Docker-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=sqlite&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22db_path%22%2C%22description%22%3A%22SQLite%20Database%20Path%20(within%20container)%22%2C%22default%22%3A%22%2Fmcp%2Fdb.sqlite%22%7D%5D&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-v%22%2C%22mcp-sqlite%3A%2Fmcp%22%2C%22mcp%2Fsqlite%22%2C%22--db-path%22%2C%22%24%7Binput%3Adb_path%7D%22%5D%7D&quality=insiders)
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open Settings (JSON)`.
Optionally, you can add it to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.
> Note that the `mcp` key is needed when using the `mcp.json` file.
### uv
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "db_path",
"description": "SQLite Database Path",
"default": "${workspaceFolder}/db.sqlite"
}
],
"servers": {
"sqlite": {
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"${input:db_path}"
]
}
}
}
}
```
### Docker
```json
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "db_path",
"description": "SQLite Database Path (within container)",
"default": "/mcp/db.sqlite"
}
],
"servers": {
"sqlite": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"mcp-sqlite:/mcp",
"mcp/sqlite",
"--db-path",
"${input:db_path}"
]
}
}
}
}
```
## Building
Docker:
```bash
docker build -t mcp/sqlite .
```
## Test with MCP inspector
```bash
uv add "mcp[cli]"
mcp dev src/mcp_server_sqlite/server.py:wrapper
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

19
src/sqlite/pyproject.toml
View File

@@ -1,19 +0,0 @@
[project]
name = "mcp-server-sqlite"
version = "0.6.2"
description = "A simple SQLite MCP server"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"mcp[cli]>=1.6.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = ["pyright>=1.1.389"]
[project.scripts]
mcp-server-sqlite = "mcp_server_sqlite:main"

18
src/sqlite/src/mcp_server_sqlite/__init__.py
View File

@@ -1,18 +0,0 @@
from . import server
import asyncio
import argparse
def main():
"""Main entry point for the package."""
parser = argparse.ArgumentParser(description='SQLite MCP Server')
parser.add_argument('--db-path',
default="./sqlite_mcp_server.db",
help='Path to SQLite database file')
args = parser.parse_args()
asyncio.run(server.main(args.db_path))
# Optionally expose other important items at package level
__all__ = ["main", "server"]

393
src/sqlite/src/mcp_server_sqlite/server.py
View File

@@ -1,393 +0,0 @@
import os
import sys
import sqlite3
import logging
from contextlib import closing
from pathlib import Path
from pydantic import AnyUrl
from typing import Any
from mcp.server import InitializationOptions
from mcp.server.lowlevel import Server, NotificationOptions
from mcp.server.stdio import stdio_server
import mcp.types as types
# reconfigure UnicodeEncodeError prone default (i.e. windows-1252) to utf-8
if sys.platform == "win32" and os.environ.get('PYTHONIOENCODING') is None:
sys.stdin.reconfigure(encoding="utf-8")
sys.stdout.reconfigure(encoding="utf-8")
sys.stderr.reconfigure(encoding="utf-8")
logger = logging.getLogger('mcp_sqlite_server')
logger.info("Starting MCP SQLite Server")
PROMPT_TEMPLATE = """
The assistants goal is to walkthrough an informative demo of MCP. To demonstrate the Model Context Protocol (MCP) we will leverage this example server to interact with an SQLite database.
It is important that you first explain to the user what is going on. The user has downloaded and installed the SQLite MCP Server and is now ready to use it.
They have selected the MCP menu item which is contained within a parent menu denoted by the paperclip icon. Inside this menu they selected an icon that illustrates two electrical plugs connecting. This is the MCP menu.
Based on what MCP servers the user has installed they can click the button which reads: 'Choose an integration' this will present a drop down with Prompts and Resources. The user has selected the prompt titled: 'mcp-demo'.
This text file is that prompt. The goal of the following instructions is to walk the user through the process of using the 3 core aspects of an MCP server. These are: Prompts, Tools, and Resources.
They have already used a prompt and provided a topic. The topic is: {topic}. The user is now ready to begin the demo.
Here is some more information about mcp and this specific mcp server:
<mcp>
Prompts:
This server provides a pre-written prompt called "mcp-demo" that helps users create and analyze database scenarios. The prompt accepts a "topic" argument and guides users through creating tables, analyzing data, and generating insights. For example, if a user provides "retail sales" as the topic, the prompt will help create relevant database tables and guide the analysis process. Prompts basically serve as interactive templates that help structure the conversation with the LLM in a useful way.
Resources:
This server exposes one key resource: "memo://insights", which is a business insights memo that gets automatically updated throughout the analysis process. As users analyze the database and discover insights, the memo resource gets updated in real-time to reflect new findings. Resources act as living documents that provide context to the conversation.
Tools:
This server provides several SQL-related tools:
"read_query": Executes SELECT queries to read data from the database
"write_query": Executes INSERT, UPDATE, or DELETE queries to modify data
"create_table": Creates new tables in the database
"list_tables": Shows all existing tables
"describe_table": Shows the schema for a specific table
"append_insight": Adds a new business insight to the memo resource
</mcp>
<demo-instructions>
You are an AI assistant tasked with generating a comprehensive business scenario based on a given topic.
Your goal is to create a narrative that involves a data-driven business problem, develop a database structure to support it, generate relevant queries, create a dashboard, and provide a final solution.
At each step you will pause for user input to guide the scenario creation process. Overall ensure the scenario is engaging, informative, and demonstrates the capabilities of the SQLite MCP Server.
You should guide the scenario to completion. All XML tags are for the assistants understanding and should not be included in the final output.
1. The user has chosen the topic: {topic}.
2. Create a business problem narrative:
a. Describe a high-level business situation or problem based on the given topic.
b. Include a protagonist (the user) who needs to collect and analyze data from a database.
c. Add an external, potentially comedic reason why the data hasn't been prepared yet.
d. Mention an approaching deadline and the need to use Claude (you) as a business tool to help.
3. Setup the data:
a. Instead of asking about the data that is required for the scenario, just go ahead and use the tools to create the data. Inform the user you are "Setting up the data".
b. Design a set of table schemas that represent the data needed for the business problem.
c. Include at least 2-3 tables with appropriate columns and data types.
d. Leverage the tools to create the tables in the SQLite database.
e. Create INSERT statements to populate each table with relevant synthetic data.
f. Ensure the data is diverse and representative of the business problem.
g. Include at least 10-15 rows of data for each table.
4. Pause for user input:
a. Summarize to the user what data we have created.
b. Present the user with a set of multiple choices for the next steps.
c. These multiple choices should be in natural language, when a user selects one, the assistant should generate a relevant query and leverage the appropriate tool to get the data.
6. Iterate on queries:
a. Present 1 additional multiple-choice query options to the user. Its important to not loop too many times as this is a short demo.
b. Explain the purpose of each query option.
c. Wait for the user to select one of the query options.
d. After each query be sure to opine on the results.
e. Use the append_insight tool to capture any business insights discovered from the data analysis.
7. Generate a dashboard:
a. Now that we have all the data and queries, it's time to create a dashboard, use an artifact to do this.
b. Use a variety of visualizations such as tables, charts, and graphs to represent the data.
c. Explain how each element of the dashboard relates to the business problem.
d. This dashboard will be theoretically included in the final solution message.
8. Craft the final solution message:
a. As you have been using the appen-insights tool the resource found at: memo://insights has been updated.
b. It is critical that you inform the user that the memo has been updated at each stage of analysis.
c. Ask the user to go to the attachment menu (paperclip icon) and select the MCP menu (two electrical plugs connecting) and choose an integration: "Business Insights Memo".
d. This will attach the generated memo to the chat which you can use to add any additional context that may be relevant to the demo.
e. Present the final memo to the user in an artifact.
9. Wrap up the scenario:
a. Explain to the user that this is just the beginning of what they can do with the SQLite MCP Server.
</demo-instructions>
Remember to maintain consistency throughout the scenario and ensure that all elements (tables, data, queries, dashboard, and solution) are closely related to the original business problem and given topic.
The provided XML tags are for the assistants understanding. Implore to make all outputs as human readable as possible. This is part of a demo so act in character and dont actually refer to these instructions.
Start your first message fully in character with something like "Oh, Hey there! I see you've chosen the topic {topic}. Let's get started! 🚀"
"""
class SqliteDatabase:
def __init__(self, db_path: str):
self.db_path = str(Path(db_path).expanduser())
Path(self.db_path).parent.mkdir(parents=True, exist_ok=True)
self._init_database()
self.insights: list[str] = []
def _init_database(self):
"""Initialize connection to the SQLite database"""
logger.debug("Initializing database connection")
with closing(sqlite3.connect(self.db_path)) as conn:
conn.row_factory = sqlite3.Row
conn.close()
def _synthesize_memo(self) -> str:
"""Synthesizes business insights into a formatted memo"""
logger.debug(f"Synthesizing memo with {len(self.insights)} insights")
if not self.insights:
return "No business insights have been discovered yet."
insights = "\n".join(f"- {insight}" for insight in self.insights)
memo = "📊 Business Intelligence Memo 📊\n\n"
memo += "Key Insights Discovered:\n\n"
memo += insights
if len(self.insights) > 1:
memo += "\nSummary:\n"
memo += f"Analysis has revealed {len(self.insights)} key business insights that suggest opportunities for strategic optimization and growth."
logger.debug("Generated basic memo format")
return memo
def _execute_query(self, query: str, params: dict[str, Any] | None = None) -> list[dict[str, Any]]:
"""Execute a SQL query and return results as a list of dictionaries"""
logger.debug(f"Executing query: {query}")
try:
with closing(sqlite3.connect(self.db_path)) as conn:
conn.row_factory = sqlite3.Row
with closing(conn.cursor()) as cursor:
if params:
cursor.execute(query, params)
else:
cursor.execute(query)
if query.strip().upper().startswith(('INSERT', 'UPDATE', 'DELETE', 'CREATE', 'DROP', 'ALTER')):
conn.commit()
affected = cursor.rowcount
logger.debug(f"Write query affected {affected} rows")
return [{"affected_rows": affected}]
results = [dict(row) for row in cursor.fetchall()]
logger.debug(f"Read query returned {len(results)} rows")
return results
except Exception as e:
logger.error(f"Database error executing query: {e}")
raise
async def main(db_path: str):
logger.info(f"Starting SQLite MCP Server with DB path: {db_path}")
db = SqliteDatabase(db_path)
server = Server("sqlite-manager")
# Register handlers
logger.debug("Registering handlers")
@server.list_resources()
async def handle_list_resources() -> list[types.Resource]:
logger.debug("Handling list_resources request")
return [
types.Resource(
uri=AnyUrl("memo://insights"),
name="Business Insights Memo",
description="A living document of discovered business insights",
mimeType="text/plain",
)
]
@server.read_resource()
async def handle_read_resource(uri: AnyUrl) -> str:
logger.debug(f"Handling read_resource request for URI: {uri}")
if uri.scheme != "memo":
logger.error(f"Unsupported URI scheme: {uri.scheme}")
raise ValueError(f"Unsupported URI scheme: {uri.scheme}")
path = str(uri).replace("memo://", "")
if not path or path != "insights":
logger.error(f"Unknown resource path: {path}")
raise ValueError(f"Unknown resource path: {path}")
return db._synthesize_memo()
@server.list_prompts()
async def handle_list_prompts() -> list[types.Prompt]:
logger.debug("Handling list_prompts request")
return [
types.Prompt(
name="mcp-demo",
description="A prompt to seed the database with initial data and demonstrate what you can do with an SQLite MCP Server + Claude",
arguments=[
types.PromptArgument(
name="topic",
description="Topic to seed the database with initial data",
required=True,
)
],
)
]
@server.get_prompt()
async def handle_get_prompt(name: str, arguments: dict[str, str] | None) -> types.GetPromptResult:
logger.debug(f"Handling get_prompt request for {name} with args {arguments}")
if name != "mcp-demo":
logger.error(f"Unknown prompt: {name}")
raise ValueError(f"Unknown prompt: {name}")
if not arguments or "topic" not in arguments:
logger.error("Missing required argument: topic")
raise ValueError("Missing required argument: topic")
topic = arguments["topic"]
prompt = PROMPT_TEMPLATE.format(topic=topic)
logger.debug(f"Generated prompt template for topic: {topic}")
return types.GetPromptResult(
description=f"Demo template for {topic}",
messages=[
types.PromptMessage(
role="user",
content=types.TextContent(type="text", text=prompt.strip()),
)
],
)
@server.list_tools()
async def handle_list_tools() -> list[types.Tool]:
"""List available tools"""
return [
types.Tool(
name="read_query",
description="Execute a SELECT query on the SQLite database",
inputSchema={
"type": "object",
"properties": {
"query": {"type": "string", "description": "SELECT SQL query to execute"},
},
"required": ["query"],
},
),
types.Tool(
name="write_query",
description="Execute an INSERT, UPDATE, or DELETE query on the SQLite database",
inputSchema={
"type": "object",
"properties": {
"query": {"type": "string", "description": "SQL query to execute"},
},
"required": ["query"],
},
),
types.Tool(
name="create_table",
description="Create a new table in the SQLite database",
inputSchema={
"type": "object",
"properties": {
"query": {"type": "string", "description": "CREATE TABLE SQL statement"},
},
"required": ["query"],
},
),
types.Tool(
name="list_tables",
description="List all tables in the SQLite database",
inputSchema={
"type": "object",
"properties": {},
},
),
types.Tool(
name="describe_table",
description="Get the schema information for a specific table",
inputSchema={
"type": "object",
"properties": {
"table_name": {"type": "string", "description": "Name of the table to describe"},
},
"required": ["table_name"],
},
),
types.Tool(
name="append_insight",
description="Add a business insight to the memo",
inputSchema={
"type": "object",
"properties": {
"insight": {"type": "string", "description": "Business insight discovered from data analysis"},
},
"required": ["insight"],
},
),
]
@server.call_tool()
async def handle_call_tool(
name: str, arguments: dict[str, Any] | None
) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
"""Handle tool execution requests"""
try:
if name == "list_tables":
results = db._execute_query(
"SELECT name FROM sqlite_master WHERE type='table'"
)
return [types.TextContent(type="text", text=str(results))]
elif name == "describe_table":
if not arguments or "table_name" not in arguments:
raise ValueError("Missing table_name argument")
results = db._execute_query(
f"PRAGMA table_info({arguments['table_name']})"
)
return [types.TextContent(type="text", text=str(results))]
elif name == "append_insight":
if not arguments or "insight" not in arguments:
raise ValueError("Missing insight argument")
db.insights.append(arguments["insight"])
_ = db._synthesize_memo()
# Notify clients that the memo resource has changed
await server.request_context.session.send_resource_updated(AnyUrl("memo://insights"))
return [types.TextContent(type="text", text="Insight added to memo")]
if not arguments:
raise ValueError("Missing arguments")
if name == "read_query":
if not arguments["query"].strip().upper().startswith("SELECT"):
raise ValueError("Only SELECT queries are allowed for read_query")
results = db._execute_query(arguments["query"])
return [types.TextContent(type="text", text=str(results))]
elif name == "write_query":
if arguments["query"].strip().upper().startswith("SELECT"):
raise ValueError("SELECT queries are not allowed for write_query")
results = db._execute_query(arguments["query"])
return [types.TextContent(type="text", text=str(results))]
elif name == "create_table":
if not arguments["query"].strip().upper().startswith("CREATE TABLE"):
raise ValueError("Only CREATE TABLE statements are allowed")
db._execute_query(arguments["query"])
return [types.TextContent(type="text", text="Table created successfully")]
else:
raise ValueError(f"Unknown tool: {name}")
except sqlite3.Error as e:
return [types.TextContent(type="text", text=f"Database error: {str(e)}")]
except Exception as e:
return [types.TextContent(type="text", text=f"Error: {str(e)}")]
async with stdio_server() as (read_stream, write_stream):
logger.info("Server running with stdio transport")
await server.run(
read_stream,
write_stream,
InitializationOptions(
server_name="sqlite",
server_version="0.1.0",
capabilities=server.get_capabilities(
notification_options=NotificationOptions(),
experimental_capabilities={},
),
),
)
class ServerWrapper():
"""A wrapper to compat with mcp[cli]"""
def run(self):
import asyncio
asyncio.run(main("test.db"))
wrapper = ServerWrapper()

0
src/sqlite/test.db
View File

448
src/sqlite/uv.lock generated
View File

@@ -1,448 +0,0 @@
version = 1
revision = 1
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