diff --git a/README.md b/README.md index fa92d631..e7e1165c 100644 --- a/README.md +++ b/README.md @@ -44,22 +44,29 @@ Official integrations are maintained by companies building production ready MCP - AgentQL Logo **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/). - AgentRPC Logo **[AgentRPC](https://github.com/agentrpc/agentrpc)** - Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/). - Aiven Logo **[Aiven](https://github.com/Aiven-Open/mcp-aiven)** - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services +- Apache IoTDB Logo **[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools - Apify Logo **[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more +- APIMatic Logo **[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API. - Audiense Logo **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis. - Axiom Logo **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language - Bankless Logo **[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state. +- BICScan Logo **[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names. - Box Logo **[Box](https://github.com/box-community/mcp-server-box)** - Interact with the Intelligent Content Management platform through Box AI. - Browserbase Logo **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more) +- **[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com). - **[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database - Chronulus AI Logo **[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents. +- CircleCI Logo **[CircleCI](https://github.com/CircleCI-Public/mcp-server-circleci)** - Enable AI Agents to fix build failures from CircleCI. - ClickHouse Logo **[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server. - **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1) +- CodeLogic Logo **[CodeLogic](https://github.com/CodeLogicIncEngineering/codelogic-mcp-server)** - Interact with [CodeLogic](https://codelogic.com), a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight. - Comet Logo **[Comet Opik](https://github.com/comet-ml/opik-mcp)** - Query and analyze your [Opik](https://github.com/comet-ml/opik) logs, traces, prompts and all other telemtry data from your LLMs in natural language. - **[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex. - 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 - DevHub Logo **[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform - E2B Logo **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev) - EduBase Logo **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities +- Elasticsearch Logo **[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch) - eSignatures Logo **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts. - Exa Logo **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai) - Fewsats Logo **[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com) @@ -68,8 +75,11 @@ Official integrations are maintained by companies building production ready MCP - Firecrawl Logo **[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev) - Fireproof Logo **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization - Gitee Logo **[Gitee](https://github.com/oschina/mcp-gitee)** - Gitee API integration, repository, issue, and pull request management, and more. +- gotoHuman Logo **[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox. - Grafana Logo **[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance - Graphlit Logo **[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project. +- Greptime Logo **[GreptimeDB](https://github.com/GreptimeTeam/greptimedb-mcp-server)** - Provides AI assistants with a secure and structured way to explore and analyze data in [GreptimeDB](https://github.com/GreptimeTeam/greptimedb). +- Heroku Logo **[Heroku](https://github.com/heroku/heroku-mcp-server)** - Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, databases, and more. - Hologres Logo **[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data. - Hyperbrowsers23 Logo **[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. - **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source @@ -79,9 +89,12 @@ Official integrations are maintained by companies building production ready MCP - Integration App Icon **[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers. - **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs - Kagi Logo **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API +- Keboola Logo **[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform. +- Lara Translate Logo **[Lara Translate](https://github.com/translated/lara-mcp)** - MCP Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations. - Logfire Logo **[Logfire](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire. - Langfuse Logo **[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts. - Lingo.dev Logo **[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine. +- Mailgun Logo **[Mailgun](https://github.com/mailgun/mailgun-mcp-server)** - Interact with Mailgun API. - Make Logo **[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants. - Meilisearch Logo **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API) - **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro @@ -93,6 +106,8 @@ Official integrations are maintained by companies building production ready MCP - OceanBase Logo **[OceanBase](https://github.com/oceanbase/mcp-oceanbase)** - MCP Server for OceanBase database and its tools - Octagon Logo **[Octagon](https://github.com/OctagonAI/octagon-mcp-server)** - Deliver real-time investment research with extensive private and public market data. - Oxylabs Logo **[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction. +- Paddle Logo **[Paddle](https://github.com/PaddleHQ/paddle-mcp-server)** - Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports. +- PayPal Logo **[PayPal](https://mcp.paypal.com)** - PayPal's official MCP server. - Perplexity Logo **[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI. - **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine - **[Ramp](https://github.com/ramp-public/ramp-mcp)** - Interact with [Ramp](https://ramp.com)'s Developer API to run analysis on your spend and gain insights leveraging LLMs @@ -102,15 +117,19 @@ Official integrations are maintained by companies building production ready MCP - [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps - ScreenshotOne Logo **[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/) - Semgrep Logo **[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/). +- **[SingleStore](https://github.com/singlestore-labs/mcp-server-singlestore)** - Interact with the SingleStore database platform - StarRocks Logo **[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/) - Stripe Logo **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API - Tavily Logo **[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/) +- 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/) - Tinybird Logo **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform - UnifAI Logo **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network) - Unstructured Logo **[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io) - **[Vectorize](https://github.com/vectorize-io/vectorize-mcp-server/)** - [Vectorize](https://vectorize.io) MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking. - Verodat Logo **[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform - VeyraX Logo **[VeyraX](https://github.com/VeyraX/veyrax-mcp)** - Single tool to control all 100+ API integrations, and UI components +- Xero Logo **[Xero](https://github.com/XeroAPI/xero-mcp-server)** - Interact with the accounting data in your business using our official MCP server +- 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 ### 🌎 Community Servers @@ -120,6 +139,7 @@ A growing set of community-developed and maintained servers demonstrates various > **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic. - **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live. - **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details. +- **[AI Agent Marketplace Index](https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp)** - MCP server to search more than 5000+ AI agents and tools of various categories from [AI Agent Marketplace Index](http://www.deepnlp.org/store/ai-agent) and monitor traffic of AI Agents. - **[Algorand](https://github.com/GoPlausible/algorand-mcp)** - A comprehensive MCP server for tooling interactions (40+) and resource accessibility (60+) plus many useful prompts for interacting with the Algorand blockchain. - **[Airflow](https://github.com/yangkyeongmo/mcp-server-apache-airflow)** - A MCP Server that connects to [Apache Airflow](https://airflow.apache.org/) using official python client. - **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection. @@ -127,14 +147,19 @@ A growing set of community-developed and maintained servers demonstrates various - **[AlphaVantage](https://github.com/calvernaz/alphavantage)** - MCP server for stock market data API [AlphaVantage](https://www.alphavantage.co) - **[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. +- **[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. - **[ArangoDB](https://github.com/ravenwits/mcp-server-arangodb)** - MCP Server that provides database interaction capabilities through [ArangoDB](https://arangodb.com/). +- **[Arduino](https://github.com/vishalmysore/choturobo)** - MCP Server that enables AI-powered robotics using Claude AI and Arduino (ESP32) for real-world automation and interaction with robots. - **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata. +- **[Attestable MCP](https://github.com/co-browser/attestable-mcp-server)** - An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using [RA-TLS](https://gramine.readthedocs.io/en/stable/attestation.html). This allows an MCP client to verify the server before conencting. - **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM. - **[AWS Athena](https://github.com/lishenxydlgzs/aws-athena-mcp)** - A MCP server for AWS Athena to run SQL queries on Glue Catalog. - **[AWS Cost Explorer](https://github.com/aarora79/aws-cost-explorer-mcp-server)** - Optimize your AWS spend (including Amazon Bedrock spend) with this MCP server by examining spend across regions, services, instance types and foundation models ([demo video](https://www.youtube.com/watch?v=WuVOmYLRFmI&feature=youtu.be)). - **[AWS Resources Operations](https://github.com/baryhuang/mcp-server-aws-resources-python)** - Run generated python code to securely query or modify any AWS resources supported by boto3. - **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents. - **[Azure ADX](https://github.com/pab1it0/adx-mcp-server)** - Query and analyze Azure Data Explorer databases. +- **[Azure DevOps](https://github.com/Vortiago/mcp-azure-devops)** - An MCP server that provides a bridge to Azure DevOps services, enabling AI assistants to query and manage work items. +- **[Baidu AI Search](https://github.com/baidubce/app-builder/tree/master/python/mcp_server/ai_search)** - Web search with Baidu Cloud's AI Search - **[Base Free USDC Transfer](https://github.com/magnetai/mcp-free-usdc-transfer)** - Send USDC on [Base](https://base.org) for free using Claude AI! Built with [Coinbase CDP](https://docs.cdp.coinbase.com/mpc-wallet/docs/welcome). * **[Basic Memory](https://github.com/basicmachines-co/basic-memory)** - Local-first knowledge management system that builds a semantic graph from Markdown files, enabling persistent memory across conversations with LLMs. - **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery. @@ -142,6 +167,9 @@ A growing set of community-developed and maintained servers demonstrates various - **[Bing Web Search API](https://github.com/leehanchung/bing-search-mcp)** (by hanchunglee) - Server implementation for Microsoft Bing Web Search API. - **[Bitable MCP](https://github.com/lloydzhou/bitable-mcp)** (by lloydzhou) - MCP server provides access to Lark Bitable through the Model Context Protocol. It allows users to interact with Bitable tables using predefined tools. - **[Blender](https://github.com/ahujasid/blender-mcp)** (by ahujasid) - Blender integration allowing prompt enabled 3D scene creation, modeling and manipulation. +- **[browser-use](https://github.com/co-browser/browser-use-mcp-server)** (by co-browser) - browser-use MCP server with dockerized playwright + chromium + vnc. supports stdio & resumable http. +- **[Bsc-mcp](https://github.com/TermiX-official/bsc-mcp)** The first MCP server that serves as the bridge between AI and BNB Chain, enabling AI agents to execute complex on-chain operations through seamless integration with the BNB Chain, including transfer, swap, launch, security check on any token and even more. +- **[Calculator](https://github.com/githejie/mcp-server-calculator)** - This server enables LLMs to use calculator for precise numerical calculations. - **[CFBD API](https://github.com/lenwood/cfbd-mcp-server)** - An MCP server for the [College Football Data API](https://collegefootballdata.com/). - **[ChatMCP](https://github.com/AI-QL/chat-mcp)** – An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by **[AIQL](https://github.com/AI-QL)** - **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so) @@ -157,6 +185,8 @@ A growing set of community-developed and maintained servers demonstrates various - **[crypto-feargreed-mcp](https://github.com/kukapay/crypto-feargreed-mcp)** - Providing real-time and historical Crypto Fear & Greed Index data. - **[cryptopanic-mcp-server](https://github.com/kukapay/cryptopanic-mcp-server)** - Providing latest cryptocurrency news to AI agents, powered by CryptoPanic. - **[Dappier](https://github.com/DappierAI/dappier-mcp)** - Connect LLMs to real-time, rights-cleared, proprietary data from trusted sources. Access specialized models for Real-Time Web Search, News, Sports, Financial Data, Crypto, and premium publisher content. Explore data models at [marketplace.dappier.com](https://marketplace.dappier.com/marketplace). +- **[Databricks](https://github.com/JordiNeil/mcp-databricks-server)** - Allows LLMs to run SQL queries, list and get details of jobs executions in a Databricks account. +- **[Datadog](https://github.com/GeLi2001/datadog-mcp-server)** - Datadog MCP Server for application tracing, monitoring, dashboard, incidents queries built on official datadog api. - **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution! - **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export - **[DBHub](https://github.com/bytebase/dbhub/)** - Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc. @@ -168,10 +198,12 @@ A growing set of community-developed and maintained servers demonstrates various - **[Dicom](https://github.com/ChristianHinge/dicom-mcp)** - An MCP server to query and retrieve medical images and for parsing and reading dicom-encapsulated documents (pdf etc.). - **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows. - **[Discord](https://github.com/v-3/discordmcp)** - A MCP server to connect to Discord guilds through a bot and read and write messages in channels +- **[Discord](https://github.com/SaseQ/discord-mcp)** - A MCP server, which connects to Discord through a bot, and provides comprehensive integration with Discord. - **[Discourse](https://github.com/AshDevFr/discourse-mcp-server)** - A MCP server to search Discourse posts on a Discourse forum. - **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks. - **[Drupal](https://github.com/Omedia/mcp-server-drupal)** - Server for interacting with [Drupal](https://www.drupal.org/project/mcp) using STDIO transport layer. - **[dune-analytics-mcp](https://github.com/kukapay/dune-analytics-mcp)** - A mcp server that bridges Dune Analytics data to AI agents. +- **[EdgeOne Pages MCP](https://github.com/TencentEdgeOne/edgeone-pages-mcp)** - An MCP service for deploying HTML content to EdgeOne Pages and obtaining a publicly accessible URL. - **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction. - **[ElevenLabs](https://github.com/mamertofabian/elevenlabs-mcp-server)** - A server that integrates with ElevenLabs text-to-speech API capable of generating full voiceovers with multiple voices. - **[Ergo Blockchain MCP](https://github.com/marctheshark3/ergo-mcp)** -An MCP server to integrate Ergo Blockchain Node and Explorer APIs for checking address balances, analyzing transactions, viewing transaction history, performing forensic analysis of addresses, searching for tokens, and monitoring network status. @@ -210,17 +242,21 @@ A growing set of community-developed and maintained servers demonstrates various - **[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. - **[Hyperliquid](https://github.com/mektigboy/server-hyperliquid)** - An MCP server implementation that integrates the Hyperliquid SDK for exchange data. +- **[iFlytek Workflow](https://github.com/iflytek/ifly-workflow-mcp-server)** - Connect to iFlytek Workflow via the MCP server and run your own Agent. - **[Image Generation](https://github.com/GongRzhe/Image-Generation-MCP-Server)** - This MCP server provides image generation capabilities using the Replicate Flux model. - **[InfluxDB](https://github.com/idoru/influxdb-mcp-server)** - Run queries against InfluxDB OSS API v2. - **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles - **[Intercom](https://github.com/raoulbia-ai/mcp-server-for-intercom)** - An MCP-compliant server for retrieving customer support tickets from Intercom. This tool enables AI assistants like Claude Desktop and Cline to access and analyze your Intercom support tickets. +- **[iOS Simulator](https://github.com/InditexTech/mcp-server-simulator-ios-idb)** - A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators (iPhone, iPad, etc.) through natural language commands. - **[iTerm MCP](https://github.com/ferrislucas/iterm-mcp)** - Integration with iTerm2 terminal emulator for macOS, enabling LLMs to execute and monitor terminal commands. - **[JavaFX](https://github.com/mcpso/mcp-server-javafx)** - Make drawings using a JavaFX canvas - **[JDBC](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc)** - Connect to any JDBC-compatible database and query, insert, update, delete, and more. Supports MySQL, PostgreSQL, Oracle, SQL Server, sqllite and [more](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc#supported-jdbc-variants). - **[JSON](https://github.com/GongRzhe/JSON-MCP-Server)** - JSON handling and processing server with advanced query capabilities using JSONPath syntax and support for array, string, numeric, and date operations. +- **[KiCad MCP](https://github.com/lamaalrajih/kicad-mcp)** - MCP server for KiCad on Mac, Windows, and Linux. - **[Keycloak MCP](https://github.com/ChristophEnglisch/keycloak-model-context-protocol)** - This MCP server enables natural language interaction with Keycloak for user and realm management including creating, deleting, and listing users and realms. - **[Kibela](https://github.com/kiwamizamurai/mcp-kibela-server)** (by kiwamizamurai) - Interact with Kibela API. - **[kintone](https://github.com/macrat/mcp-server-kintone)** - Manage records and apps in [kintone](https://kintone.com) through LLM tools. +- **[Kong Konnect](https://github.com/Kong/mcp-konnect)** - A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics. - **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services. - **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster. - **[Langflow-DOC-QA-SERVER](https://github.com/GongRzhe/Langflow-DOC-QA-SERVER)** - A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend. @@ -232,6 +268,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[llm-context](https://github.com/cyberchitta/llm-context.py)** - Provides a repo-packing MCP tool with configurable profiles that specify file inclusion/exclusion patterns and optional prompts. - **[mac-messages-mcp](https://github.com/carterlasalle/mac_messages_mcp)** - An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages. - **[MariaDB](https://github.com/abel9851/mcp-server-mariadb)** - MariaDB database integration with configurable access controls in Python. +- **[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 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. @@ -244,8 +281,10 @@ A growing set of community-developed and maintained servers demonstrates various - **[MSSQL-Python](https://github.com/amornpan/py-mcp-mssql)** (by amornpan) - A read-only Python implementation for MSSQL database access with enhanced security features, configurable access controls, and schema inspection capabilities. Focuses on safe database interaction through Python ecosystem. - **[MSSQL-MCP](https://github.com/daobataotie/mssql-mcp)** (by daobataotie) - MSSQL MCP that refer to the official website's SQLite MCP for modifications to adapt to MSSQL - **[Markdownify](https://github.com/zcaceres/mcp-markdownify-server)** - MCP to convert almost anything to Markdown (PPTX, HTML, PDF, Youtube Transcripts and more) +- **[Microsoft Teams](https://github.com/InditexTech/mcp-teams-server)** - MCP server that integrates Microsoft Teams messaging (read, post, mention, list members and threads) - **[Mindmap](https://github.com/YuChenSSR/mindmap-mcp-server)** (by YuChenSSR) - A server that generates mindmaps from input containing markdown code. - **[Minima](https://github.com/dmayboroda/minima)** - MCP server for RAG on local files +- **[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. - **[Monday.com](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items. @@ -254,6 +293,8 @@ A growing set of community-developed and maintained servers demonstrates various - **[MySQL](https://github.com/designcomputer/mysql_mcp_server)** (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection - **[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. +- **[National Parks](https://github.com/KyrieTangSheng/mcp-server-nationalparks)** - The server provides latest information of park details, alerts, visitor centers, campgrounds, hiking trails, and events for U.S. National Parks. - **[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. - **[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. @@ -304,15 +345,19 @@ A growing set of community-developed and maintained servers demonstrates various - **[scrapling-fetch](https://github.com/cyberchitta/scrapling-fetch-mcp)** - Access text content from bot-protected websites. Fetches HTML/markdown from sites with anti-automation measures using Scrapling. - **[SearXNG](https://github.com/ihor-sokoliuk/mcp-searxng)** - A Model Context Protocol Server for [SearXNG](https://docs.searxng.org) - **[ServiceNow](https://github.com/osomai/servicenow-mcp)** - A MCP server to interact with a ServiceNow instance +- **[Shopify](https://github.com/GeLi2001/shopify-mcp)** - MCP to interact with Shopify API including order, product, customers and so on. - **[Siri Shortcuts](https://github.com/dvcrn/mcp-server-siri-shortcuts)** - MCP to interact with Siri Shortcuts on macOS. Exposes all Shortcuts as MCP tools. - **[Snowflake](https://github.com/isaacwasserman/mcp-snowflake-server)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations. - **[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. - **[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. - **[Stripe](https://github.com/atharvagupta2003/mcp-stripe)** - This MCP allows integration with Stripe for handling payments, customers, and refunds. +- **[ShaderToy](https://github.com/wilsonchenghy/ShaderToy-MCP)** - This MCP server lets LLMs to interact with the ShaderToy API, allowing LLMs to learn from compute shaders examples and enabling them to create complex GLSL shaders that they are previously not capable of. - **[TMDB](https://github.com/Laksh-star/mcp-server-tmdb)** - This MCP server integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations. - **[Tavily search](https://github.com/RamXX/mcp-tavily)** - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions +- **[Telegram](https://github.com/chigwell/telegram-mcp)** - An MCP server that provides paginated chat reading, message retrieval, and message sending capabilities for Telegram through Telethon integration. - **[Terminal-Control](https://github.com/GongRzhe/terminal-controller-mcp)** - A MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface. +- **[TFT-Match-Analyzer](https://github.com/GeLi2001/tft-mcp-server)** - MCP server for teamfight tactics match history & match details fetching, providing user the detailed context for every match. - **[Ticketmaster](https://github.com/delorenj/mcp-server-ticketmaster)** - Search for events, venues, and attractions through the Ticketmaster Discovery API - **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks. - **[Typesense](https://github.com/suhail-ak-s/mcp-typesense-server)** - A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. This server enables LLMs to discover, search, and analyze data stored in Typesense collections. @@ -328,6 +373,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Webflow](https://github.com/kapilduraphe/webflow-mcp-server)** - Interfact with the Webflow APIs - **[whale-tracker-mcp](https://github.com/kukapay/whale-tracker-mcp)** - A mcp server for tracking cryptocurrency whale transactions. - **[Whois MCP](https://github.com/bharathvaj-ganesan/whois-mcp)** - MCP server that performs whois lookup against domain, IP, ASN and TLD. +- **[Wikidata MCP](https://github.com/zzaebok/mcp-wikidata)** - Wikidata MCP server that interact with Wikidata, by searching identifiers, extracting metadata, and executing sparql query. - **[WildFly MCP](https://github.com/wildfly-extras/wildfly-mcp)** - WildFly MCP server that enables LLM to interact with running WildFly servers (retrieve metrics, logs, invoke operations, ...). - **[Windows CLI](https://github.com/SimonB97/win-cli-mcp-server)** - MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells. - **[World Bank data API](https://github.com/anshumax/world_bank_mcp_server)** - A server that fetches data indicators available with the World Bank as part of their data API @@ -335,7 +381,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[X (Twitter)](https://github.com/vidhupv/x-mcp)** (by vidhupv) - Create, manage and publish X/Twitter posts directly through Claude chat. - **[xcodebuild](https://github.com/ShenghaiWang/xcodebuild)** - 🍎 Build iOS Xcode workspace/project and feed back errors to llm. - **[Xero-mcp-server](https://github.com/john-zhang-dev/xero-mcp)** - Enabling clients to interact with Xero system for streamlined accounting, invoicing, and business operations. -- **[xiyan_mcp_server](https://github.com/XGenerationLab/xiyan_mcp_server)** An MCP server that supports fetching data from a database using natural language queries, powered by XiyanSQL as the text-to-SQL LLM. +- **[XiYan](https://github.com/XGenerationLab/xiyan_mcp_server)** - 🗄️ An MCP server that supports fetching data from a database using natural language queries, powered by XiyanSQL as the text-to-SQL LLM. - **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files. - **[YouTube](https://github.com/ZubeidHendricks/youtube-mcp-server)** - Comprehensive YouTube API integration for video management, Shorts creation, and analytics. @@ -349,6 +395,7 @@ These are high-level frameworks that make it easier to build MCP servers or clie - **[FastAPI to MCP auto generator](https://github.com/tadata-org/fastapi_mcp)** – A zero-configuration tool for automatically exposing FastAPI endpoints as MCP tools by **[Tadata](https://tadata.com/)** * **[FastMCP](https://github.com/punkpeye/fastmcp)** (TypeScript) * **[Foxy Contexts](https://github.com/strowk/foxy-contexts)** – A library to build MCP servers in Golang by **[strowk](https://github.com/strowk)** +* **[Higress MCP Server Hosting](https://github.com/alibaba/higress/tree/main/plugins/wasm-go/mcp-servers)** - A solution for hosting MCP Servers by extending the API Gateway (based on Envoy) with wasm plugins. * **[MCP-Framework](https://mcp-framework.com)** Build MCP servers with elegance and speed in Typescript. Comes with a CLI to create your project with `mcp create app`. Get started with your first server in under 5 minutes by **[Alex Andru](https://github.com/QuantGeekDev)** * **[Quarkus MCP Server SDK](https://github.com/quarkiverse/quarkus-mcp-server)** (Java) * **[Template MCP Server](https://github.com/mcpdotdirect/template-mcp-server)** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure @@ -377,8 +424,10 @@ Additional resources on MCP. - **[mcp-guardian](https://github.com/eqtylab/mcp-guardian)** - GUI application + tools for proxying / managing control of MCP servers by **[EQTY Lab](https://eqtylab.io)** - **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)** - **[MCPHub](https://github.com/Jeamee/MCPHub-Desktop)** – An Open Source MacOS & Windows GUI Desktop app for discovering, installing and managing MCP servers by **[Jeamee](https://github.com/jeamee)** +- **[mcp.natoma.id](https://mcp.natoma.id)** - A Hosted MCP Platform to discover, install, manage and deploy MCP servers by **[Natoma Labs](https://www.natoma.id)** - **[mcp.run](https://mcp.run)** - A hosted registry and control plane to install & run secure + portable MCP Servers. - **[mcp-dockmaster](https://mcp-dockmaster.com)** - An Open-Sourced UI to install and manage MCP servers for Windows, Linux and MacOS. +- **[MCP Servers Rating and User Reviews](http://www.deepnlp.org/store/ai-agent/mcp-server)** - Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent) - mkinf Logo **[mkinf](https://mkinf.io)** - An Open Source registry of hosted MCP Servers to accelerate AI agent workflows. - **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)** - OpenTools Logo **[OpenTools](https://opentools.com)** - An open registry for finding, installing, and building with MCP servers by **[opentoolsteam](https://github.com/opentoolsteam)** diff --git a/package-lock.json b/package-lock.json index 69308e1f..d6821599 100644 --- a/package-lock.json +++ b/package-lock.json @@ -863,6 +863,10 @@ "resolved": "src/puppeteer", "link": true }, + "node_modules/@modelcontextprotocol/server-redis": { + "resolved": "src/redis", + "link": true + }, "node_modules/@modelcontextprotocol/server-sequential-thinking": { "resolved": "src/sequentialthinking", "link": true @@ -2053,16 +2057,27 @@ "node": ">= 0.8" } }, - "node_modules/call-bind": { - "version": "1.0.7", - "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.7.tgz", - "integrity": "sha512-GHTSNSYICQ7scH7sZ+M2rFopRoLh8t2bLSW6BbgrtLsahOIB5iyAVJf9GjWK3cYTDaMj4XdBpM1cA6pIS0Kv2w==", + "node_modules/call-bind-apply-helpers": { + "version": "1.0.2", + "resolved": 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"es-errors": "^1.3.0", - "gopd": "^1.0.1" - }, - "engines": { - "node": ">= 0.4" - }, - "funding": { - "url": "https://github.com/sponsors/ljharb" - } - }, "node_modules/define-lazy-prop": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/define-lazy-prop/-/define-lazy-prop-3.0.0.tgz", @@ -2368,6 +2380,20 @@ "url": "https://dotenvx.com" } }, + "node_modules/dunder-proto": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/dunder-proto/-/dunder-proto-1.0.1.tgz", + "integrity": "sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==", + "license": "MIT", + "dependencies": { + "call-bind-apply-helpers": "^1.0.1", + "es-errors": "^1.3.0", + "gopd": "^1.2.0" + }, + "engines": { + "node": ">= 0.4" + } + }, "node_modules/eastasianwidth": { "version": "0.2.0", "resolved": "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz", @@ -2425,12 +2451,10 @@ } }, "node_modules/es-define-property": { - "version": 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publishing + +## Code Style Guidelines +- Use ES modules with `.js` extension in import paths +- Strictly type all functions and variables with TypeScript +- Follow zod schema patterns for tool input validation +- Prefer async/await over callbacks and Promise chains +- Place all imports at top of file, grouped by external then internal +- Use descriptive variable names that clearly indicate purpose +- Implement proper cleanup for timers and resources in server shutdown +- Follow camelCase for variables/functions, PascalCase for types/classes, UPPER_CASE for constants +- Handle errors with try/catch blocks and provide clear error messages +- Use consistent indentation (2 spaces) and trailing commas in multi-line objects \ No newline at end of file diff --git a/src/everything/README.md b/src/everything/README.md index ff854ae7..f0c4a550 100644 --- a/src/everything/README.md +++ b/src/everything/README.md @@ -63,6 +63,15 @@ This MCP server attempts to exercise all the features of the MCP protocol. It is } ``` +8. `getResourceReference` + - Returns a resource reference that can be used by MCP clients + - Inputs: + - `resourceId` (number, 1-100): ID of the resource to reference + - Returns: A resource reference with: + - Text introduction + - Embedded resource with `type: "resource"` + - Text instruction for using the resource URI + ### Resources The server provides 100 test resources in two formats: @@ -96,6 +105,13 @@ Resource features: - `style` (string): Output style preference - Returns: Multi-turn conversation with images +3. `resource_prompt` + - Demonstrates embedding resource references in prompts + - Required arguments: + - `resourceId` (number): ID of the resource to embed (1-100) + - Returns: Multi-turn conversation with an embedded resource reference + - Shows how to include resources directly in prompt messages + ### Logging The server sends random-leveled log messages every 15 seconds, e.g.: diff --git a/src/everything/everything.ts b/src/everything/everything.ts index 8ee80bf2..cee1e731 100644 --- a/src/everything/everything.ts +++ b/src/everything/everything.ts @@ -62,10 +62,21 @@ const EXAMPLE_COMPLETIONS = { const GetTinyImageSchema = z.object({}); const AnnotatedMessageSchema = z.object({ - messageType: z.enum(["error", "success", "debug"]) + messageType: z + .enum(["error", "success", "debug"]) .describe("Type of message to demonstrate different annotation patterns"), - includeImage: z.boolean().default(false) - .describe("Whether to include an example image") + includeImage: z + .boolean() + .default(false) + .describe("Whether to include an example image"), +}); + +const GetResourceReferenceSchema = z.object({ + resourceId: z + .number() + .min(1) + .max(100) + .describe("ID of the resource to reference (1-100)"), }); enum ToolName { @@ -76,11 +87,13 @@ enum ToolName { SAMPLE_LLM = "sampleLLM", GET_TINY_IMAGE = "getTinyImage", ANNOTATED_MESSAGE = "annotatedMessage", + GET_RESOURCE_REFERENCE = "getResourceReference", } enum PromptName { SIMPLE = "simple_prompt", COMPLEX = "complex_prompt", + RESOURCE = "resource_prompt", } export const createServer = () => { @@ -96,7 +109,7 @@ export const createServer = () => { tools: {}, logging: {}, }, - }, + } ); let subscriptions: Set = new Set(); @@ -115,36 +128,37 @@ export const createServer = () => { let logLevel: LoggingLevel = "debug"; let logsUpdateInterval: NodeJS.Timeout | undefined; const messages = [ - {level: "debug", data: "Debug-level message"}, - {level: "info", data: "Info-level message"}, - {level: "notice", data: "Notice-level message"}, - {level: "warning", data: "Warning-level message"}, - {level: "error", data: "Error-level message"}, - {level: "critical", data: "Critical-level message"}, - {level: "alert", data: "Alert level-message"}, - {level: "emergency", data: "Emergency-level message"} - ] + { level: "debug", data: "Debug-level message" }, + { level: "info", data: "Info-level message" }, + { level: "notice", data: "Notice-level message" }, + { level: "warning", data: "Warning-level message" }, + { level: "error", data: "Error-level message" }, + { level: "critical", data: "Critical-level message" }, + { level: "alert", data: "Alert level-message" }, + { level: "emergency", data: "Emergency-level message" }, + ]; - const isMessageIgnored = (level:LoggingLevel):boolean => { + const isMessageIgnored = (level: LoggingLevel): boolean => { const currentLevel = messages.findIndex((msg) => logLevel === msg.level); - const messageLevel = messages.findIndex((msg) => level === msg.level); + const messageLevel = messages.findIndex((msg) => level === msg.level); return messageLevel < currentLevel; - } + }; // Set up update interval for random log messages logsUpdateInterval = setInterval(() => { let message = { method: "notifications/message", params: messages[Math.floor(Math.random() * messages.length)], - } - if (!isMessageIgnored(message.params.level as LoggingLevel)) server.notification(message); + }; + if (!isMessageIgnored(message.params.level as LoggingLevel)) + server.notification(message); }, 15000); // Helper method to request sampling from client const requestSampling = async ( context: string, uri: string, - maxTokens: number = 100, + maxTokens: number = 100 ) => { const request: CreateMessageRequest = { method: "sampling/createMessage", @@ -280,6 +294,17 @@ export const createServer = () => { }, ], }, + { + name: PromptName.RESOURCE, + description: "A prompt that includes an embedded resource reference", + arguments: [ + { + name: "resourceId", + description: "Resource ID to include (1-100)", + required: true, + }, + ], + }, ], }; }); @@ -330,6 +355,37 @@ export const createServer = () => { }; } + if (name === PromptName.RESOURCE) { + const resourceId = parseInt(args?.resourceId as string, 10); + if (isNaN(resourceId) || resourceId < 1 || resourceId > 100) { + throw new Error( + `Invalid resourceId: ${args?.resourceId}. Must be a number between 1 and 100.` + ); + } + + const resourceIndex = resourceId - 1; + const resource = ALL_RESOURCES[resourceIndex]; + + return { + messages: [ + { + role: "user", + content: { + type: "text", + text: `This prompt includes Resource ${resourceId}. Please analyze the following resource:`, + }, + }, + { + role: "user", + content: { + type: "resource", + resource: resource, + }, + }, + ], + }; + } + throw new Error(`Unknown prompt: ${name}`); }); @@ -347,7 +403,8 @@ export const createServer = () => { }, { name: ToolName.PRINT_ENV, - description: "Prints all environment variables, helpful for debugging MCP server configuration", + description: + "Prints all environment variables, helpful for debugging MCP server configuration", inputSchema: zodToJsonSchema(PrintEnvSchema) as ToolInput, }, { @@ -368,9 +425,16 @@ export const createServer = () => { }, { name: ToolName.ANNOTATED_MESSAGE, - description: "Demonstrates how annotations can be used to provide metadata about content", + description: + "Demonstrates how annotations can be used to provide metadata about content", inputSchema: zodToJsonSchema(AnnotatedMessageSchema) as ToolInput, }, + { + name: ToolName.GET_RESOURCE_REFERENCE, + description: + "Returns a resource reference that can be used by MCP clients", + inputSchema: zodToJsonSchema(GetResourceReferenceSchema) as ToolInput, + }, ]; return { tools }; @@ -407,7 +471,7 @@ export const createServer = () => { for (let i = 1; i < steps + 1; i++) { await new Promise((resolve) => - setTimeout(resolve, stepDuration * 1000), + setTimeout(resolve, stepDuration * 1000) ); if (progressToken !== undefined) { @@ -450,10 +514,12 @@ export const createServer = () => { const result = await requestSampling( prompt, ToolName.SAMPLE_LLM, - maxTokens, + maxTokens ); return { - content: [{ type: "text", text: `LLM sampling result: ${result.content.text}` }], + content: [ + { type: "text", text: `LLM sampling result: ${result.content.text}` }, + ], }; } @@ -478,6 +544,35 @@ export const createServer = () => { }; } + if (name === ToolName.GET_RESOURCE_REFERENCE) { + const validatedArgs = GetResourceReferenceSchema.parse(args); + const resourceId = validatedArgs.resourceId; + + const resourceIndex = resourceId - 1; + if (resourceIndex < 0 || resourceIndex >= ALL_RESOURCES.length) { + throw new Error(`Resource with ID ${resourceId} does not exist`); + } + + const resource = ALL_RESOURCES[resourceIndex]; + + return { + content: [ + { + type: "text", + text: `Returning resource reference for Resource ${resourceId}:`, + }, + { + type: "resource", + resource: resource, + }, + { + type: "text", + text: `You can access this resource using the URI: ${resource.uri}`, + }, + ], + }; + } + if (name === ToolName.ANNOTATED_MESSAGE) { const { messageType, includeImage } = AnnotatedMessageSchema.parse(args); @@ -490,8 +585,8 @@ export const createServer = () => { text: "Error: Operation failed", annotations: { priority: 1.0, // Errors are highest priority - audience: ["user", "assistant"] // Both need to know about errors - } + audience: ["user", "assistant"], // Both need to know about errors + }, }); } else if (messageType === "success") { content.push({ @@ -499,8 +594,8 @@ export const createServer = () => { text: "Operation completed successfully", annotations: { priority: 0.7, // Success messages are important but not critical - audience: ["user"] // Success mainly for user consumption - } + audience: ["user"], // Success mainly for user consumption + }, }); } else if (messageType === "debug") { content.push({ @@ -508,8 +603,8 @@ export const createServer = () => { text: "Debug: Cache hit ratio 0.95, latency 150ms", annotations: { priority: 0.3, // Debug info is low priority - audience: ["assistant"] // Technical details for assistant - } + audience: ["assistant"], // Technical details for assistant + }, }); } @@ -521,8 +616,8 @@ export const createServer = () => { mimeType: "image/png", annotations: { priority: 0.5, - audience: ["user"] // Images primarily for user visualization - } + audience: ["user"], // Images primarily for user visualization + }, }); } @@ -540,7 +635,7 @@ export const createServer = () => { if (!resourceId) return { completion: { values: [] } }; // Filter resource IDs that start with the input value - const values = EXAMPLE_COMPLETIONS.resourceId.filter(id => + const values = EXAMPLE_COMPLETIONS.resourceId.filter((id) => id.startsWith(argument.value) ); return { completion: { values, hasMore: false, total: values.length } }; @@ -548,10 +643,11 @@ export const createServer = () => { if (ref.type === "ref/prompt") { // Handle completion for prompt arguments - const completions = EXAMPLE_COMPLETIONS[argument.name as keyof typeof EXAMPLE_COMPLETIONS]; + const completions = + EXAMPLE_COMPLETIONS[argument.name as keyof typeof EXAMPLE_COMPLETIONS]; if (!completions) return { completion: { values: [] } }; - const values = completions.filter(value => + const values = completions.filter((value) => value.startsWith(argument.value) ); return { completion: { values, hasMore: false, total: values.length } }; diff --git a/src/fetch/README.md b/src/fetch/README.md index 0e58b3de..01d99cac 100644 --- a/src/fetch/README.md +++ b/src/fetch/README.md @@ -107,6 +107,10 @@ ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotoc This can be customized by adding the argument `--user-agent=YourUserAgent` to the `args` list in the configuration. +### Customization - Proxy + +The server can be configured to use a proxy by using the `--proxy-url` argument. + ## Debugging You can use the MCP inspector to debug the server. For uvx installations: diff --git a/src/fetch/pyproject.toml b/src/fetch/pyproject.toml index ed76fdcd..bbee516a 100644 --- a/src/fetch/pyproject.toml +++ b/src/fetch/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "mcp-server-fetch" -version = "0.6.2" +version = "0.6.3" description = "A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs" readme = "README.md" requires-python = ">=3.10" @@ -16,6 +16,7 @@ classifiers = [ "Programming Language :: Python :: 3.10", ] dependencies = [ + "httpx<0.28", "markdownify>=0.13.1", "mcp>=1.1.3", "protego>=0.3.1", diff --git a/src/fetch/src/mcp_server_fetch/__init__.py b/src/fetch/src/mcp_server_fetch/__init__.py index e3a35d54..09744ce3 100644 --- a/src/fetch/src/mcp_server_fetch/__init__.py +++ b/src/fetch/src/mcp_server_fetch/__init__.py @@ -15,9 +15,10 @@ def main(): action="store_true", help="Ignore robots.txt restrictions", ) + parser.add_argument("--proxy-url", type=str, help="Proxy URL to use for requests") args = parser.parse_args() - asyncio.run(serve(args.user_agent, args.ignore_robots_txt)) + asyncio.run(serve(args.user_agent, args.ignore_robots_txt, args.proxy_url)) if __name__ == "__main__": diff --git a/src/fetch/src/mcp_server_fetch/server.py b/src/fetch/src/mcp_server_fetch/server.py index 775d79c8..2df9d3b6 100644 --- a/src/fetch/src/mcp_server_fetch/server.py +++ b/src/fetch/src/mcp_server_fetch/server.py @@ -63,7 +63,7 @@ def get_robots_txt_url(url: str) -> str: return robots_url -async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None: +async def check_may_autonomously_fetch_url(url: str, user_agent: str, proxy_url: str | None = None) -> None: """ Check if the URL can be fetched by the user agent according to the robots.txt file. Raises a McpError if not. @@ -72,7 +72,7 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None: robot_txt_url = get_robots_txt_url(url) - async with AsyncClient() as client: + async with AsyncClient(proxies=proxy_url) as client: try: response = await client.get( robot_txt_url, @@ -109,14 +109,14 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None: async def fetch_url( - url: str, user_agent: str, force_raw: bool = False + url: str, user_agent: str, force_raw: bool = False, proxy_url: str | None = None ) -> Tuple[str, str]: """ Fetch the URL and return the content in a form ready for the LLM, as well as a prefix string with status information. """ from httpx import AsyncClient, HTTPError - async with AsyncClient() as client: + async with AsyncClient(proxies=proxy_url) as client: try: response = await client.get( url, @@ -173,19 +173,22 @@ class Fetch(BaseModel): bool, Field( default=False, - description="Get the actual HTML content if the requested page, without simplification.", + description="Get the actual HTML content of the requested page, without simplification.", ), ] async def serve( - custom_user_agent: str | None = None, ignore_robots_txt: bool = False + custom_user_agent: str | None = None, + ignore_robots_txt: bool = False, + proxy_url: str | None = None, ) -> None: """Run the fetch MCP server. Args: custom_user_agent: Optional custom User-Agent string to use for requests ignore_robots_txt: Whether to ignore robots.txt restrictions + proxy_url: Optional proxy URL to use for requests """ server = Server("mcp-fetch") user_agent_autonomous = custom_user_agent or DEFAULT_USER_AGENT_AUTONOMOUS @@ -229,10 +232,10 @@ Although originally you did not have internet access, and were advised to refuse raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required")) if not ignore_robots_txt: - await check_may_autonomously_fetch_url(url, user_agent_autonomous) + await check_may_autonomously_fetch_url(url, user_agent_autonomous, proxy_url) content, prefix = await fetch_url( - url, user_agent_autonomous, force_raw=args.raw + url, user_agent_autonomous, force_raw=args.raw, proxy_url=proxy_url ) original_length = len(content) if args.start_index >= original_length: @@ -259,7 +262,7 @@ Although originally you did not have internet access, and were advised to refuse url = arguments["url"] try: - content, prefix = await fetch_url(url, user_agent_manual) + content, prefix = await fetch_url(url, user_agent_manual, proxy_url=proxy_url) # TODO: after SDK bug is addressed, don't catch the exception except McpError as e: return GetPromptResult( diff --git a/src/filesystem/README.md b/src/filesystem/README.md index c52f1a40..3d3fb485 100644 --- a/src/filesystem/README.md +++ b/src/filesystem/README.md @@ -41,22 +41,16 @@ Node.js server implementing Model Context Protocol (MCP) for filesystem operatio - Features: - Line-based and multi-line content matching - Whitespace normalization with indentation preservation - - Fuzzy matching with confidence scoring - Multiple simultaneous edits with correct positioning - Indentation style detection and preservation - Git-style diff output with context - Preview changes with dry run mode - - Failed match debugging with confidence scores - Inputs: - `path` (string): File to edit - `edits` (array): List of edit operations - `oldText` (string): Text to search for (can be substring) - `newText` (string): Text to replace with - `dryRun` (boolean): Preview changes without applying (default: false) - - `options` (object): Optional formatting settings - - `preserveIndentation` (boolean): Keep existing indentation (default: true) - - `normalizeWhitespace` (boolean): Normalize spaces while preserving structure (default: true) - - `partialMatch` (boolean): Enable fuzzy matching (default: true) - Returns detailed diff and match information for dry runs, otherwise applies changes - Best Practice: Always use dryRun first to preview changes before applying them diff --git a/src/filesystem/index.ts b/src/filesystem/index.ts index b4d5c419..c544ff25 100644 --- a/src/filesystem/index.ts +++ b/src/filesystem/index.ts @@ -42,7 +42,7 @@ const allowedDirectories = args.map(dir => // Validate that all directories exist and are accessible await Promise.all(args.map(async (dir) => { try { - const stats = await fs.stat(dir); + const stats = await fs.stat(expandHome(dir)); if (!stats.isDirectory()) { console.error(`Error: ${dir} is not a directory`); process.exit(1); diff --git a/src/git/uv.lock b/src/git/uv.lock index a9fba889..2a1af133 100644 --- a/src/git/uv.lock +++ b/src/git/uv.lock @@ -165,9 +165,9 @@ dependencies = [ { name = "sse-starlette" }, { name = "starlette" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/97/de/a9ec0a1b6439f90ea59f89004bb2e7ec6890dfaeef809751d9e6577dca7e/mcp-1.0.0.tar.gz", hash = "sha256:dba51ce0b5c6a80e25576f606760c49a91ee90210fed805b530ca165d3bbc9b7", size = 82891 } +sdist = { url = "https://files.pythonhosted.org/packages/77/f2/067b1fc114e8d3ae4af02fc4f4ed8971a2c4900362d976fabe0f4e9a3418/mcp-1.1.0.tar.gz", hash = "sha256:e3c8d6df93a4de90230ea944dd667730744a3cd91a4cc0ee66a5acd53419e100", size = 83802 } wheels = [ - { url = "https://files.pythonhosted.org/packages/56/89/900c0c8445ec001d3725e475fc553b0feb2e8a51be018f3bb7de51e683db/mcp-1.0.0-py3-none-any.whl", hash = "sha256:bbe70ffa3341cd4da78b5eb504958355c68381fb29971471cea1e642a2af5b8a", size = 36361 }, + { url = "https://files.pythonhosted.org/packages/b9/3e/aef19ac08a6f9a347c086c4e628c2f7329659828cbe92ffd524ec2aac833/mcp-1.1.0-py3-none-any.whl", hash = "sha256:44aa4d2e541f0924d6c344aa7f96b427a6ee1df2fab70b5f9ae2f8777b3f05f2", size = 36576 }, ] [[package]] diff --git a/src/github/README.md b/src/github/README.md index 026dde9b..a8e176f3 100644 --- a/src/github/README.md +++ b/src/github/README.md @@ -1,5 +1,9 @@ # 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 diff --git a/src/github/common/types.ts b/src/github/common/types.ts index cca961ba..1ff9c7cc 100644 --- a/src/github/common/types.ts +++ b/src/github/common/types.ts @@ -157,7 +157,7 @@ export const GitHubLabelSchema = z.object({ name: z.string(), color: z.string(), default: z.boolean(), - description: z.string().optional(), + description: z.string().nullable().optional(), }); export const GitHubMilestoneSchema = z.object({ diff --git a/src/github/index.ts b/src/github/index.ts index 33b62ff7..0315a898 100644 --- a/src/github/index.ts +++ b/src/github/index.ts @@ -7,6 +7,7 @@ import { } 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'; @@ -27,6 +28,11 @@ import { } 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", @@ -293,10 +299,39 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => { case "create_issue": { const args = issues.CreateIssueSchema.parse(request.params.arguments); const { owner, repo, ...options } = args; - const issue = await issues.createIssue(owner, repo, options); - return { - content: [{ type: "text", text: JSON.stringify(issue, null, 2) }], - }; + + 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": { diff --git a/src/github/operations/pulls.ts b/src/github/operations/pulls.ts index 9b1a5bd7..3628e707 100644 --- a/src/github/operations/pulls.ts +++ b/src/github/operations/pulls.ts @@ -112,11 +112,20 @@ export const CreatePullRequestReviewSchema = z.object({ 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.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") - })).optional().describe("Comments to post as part of the review") + 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({ diff --git a/src/gitlab/schemas.ts b/src/gitlab/schemas.ts index 108c190b..af93380d 100644 --- a/src/gitlab/schemas.ts +++ b/src/gitlab/schemas.ts @@ -22,10 +22,10 @@ export const GitLabRepositorySchema = z.object({ 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, + owner: GitLabOwnerSchema.optional(), web_url: z.string(), // Changed from html_url to match GitLab API description: z.string().nullable(), - fork: z.boolean(), + 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(), @@ -218,12 +218,12 @@ export const GitLabMergeRequestSchema = z.object({ title: z.string(), description: z.string(), // Changed from body to match GitLab API state: z.string(), - merged: z.boolean(), + 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, + diff_refs: GitLabMergeRequestDiffRefSchema.nullable(), web_url: z.string(), // Changed from html_url to match GitLab API created_at: z.string(), updated_at: z.string(), diff --git a/src/mssql-mcp b/src/mssql-mcp deleted file mode 160000 index 479553d8..00000000 --- a/src/mssql-mcp +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 479553d86acb7b495106d05a93a7b4ce417b4a73 diff --git a/src/puppeteer/README.md b/src/puppeteer/README.md index 7c7e8160..4eab314c 100644 --- a/src/puppeteer/README.md +++ b/src/puppeteer/README.md @@ -8,7 +8,10 @@ A Model Context Protocol server that provides browser automation capabilities us - **puppeteer_navigate** - Navigate to any URL in the browser - - Input: `url` (string) + - 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 @@ -61,6 +64,7 @@ The server provides access to two types of resources: - Screenshot capabilities - JavaScript execution - Basic web interaction (navigation, clicking, form filling) +- Customizable Puppeteer launch options ## Configuration to use Puppeteer Server Here's the Claude Desktop configuration to use the Puppeter server: @@ -93,6 +97,39 @@ Here's the Claude Desktop configuration to use the Puppeter server: } ``` +### 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: @@ -103,4 +140,4 @@ 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. +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. \ No newline at end of file diff --git a/src/puppeteer/index.ts b/src/puppeteer/index.ts index fda97164..1849c783 100644 --- a/src/puppeteer/index.ts +++ b/src/puppeteer/index.ts @@ -22,7 +22,9 @@ const TOOLS: Tool[] = [ inputSchema: { type: "object", properties: { - url: { type: "string" }, + 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"], }, @@ -101,16 +103,65 @@ const TOOLS: Tool[] = [ ]; // Global state -let browser: Browser | undefined; -let page: Page | undefined; +let browser: Browser | null; +let page: Page | null; const consoleLogs: string[] = []; const screenshots = new Map(); +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; -async function ensureBrowser() { if (!browser) { const npx_args = { headless: false } const docker_args = { headless: true, args: ["--no-sandbox", "--single-process", "--no-zygote"] } - browser = await puppeteer.launch(process.env.DOCKER_CONTAINER ? docker_args : npx_args); + browser = await puppeteer.launch(deepMerge( + process.env.DOCKER_CONTAINER ? docker_args : npx_args, + mergedConfig + )); const pages = await browser.pages(); page = pages[0]; @@ -126,6 +177,31 @@ async function ensureBrowser() { 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: { @@ -136,7 +212,7 @@ declare global { } async function handleToolCall(name: string, args: any): Promise { - const page = await ensureBrowser(); + const page = await ensureBrowser(args); switch (name) { case "puppeteer_navigate": @@ -285,15 +361,15 @@ async function handleToolCall(name: string, args: any): Promise window.mcpHelper.logs.push(`[${method}] ${args.join(' ')}`); (window.mcpHelper.originalConsole as any)[method](...args); }; - } ); - } ); + }); + }); - const result = await page.evaluate( args.script ); + 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; + delete (window as any).mcpHelper; return logs; }); @@ -405,4 +481,4 @@ runServer().catch(console.error); process.stdin.on("close", () => { console.error("Puppeteer MCP Server closed"); server.close(); -}); +}); \ No newline at end of file diff --git a/src/redis/README.md b/src/redis/README.md index 45123a58..992471dc 100644 --- a/src/redis/README.md +++ b/src/redis/README.md @@ -2,6 +2,31 @@ 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 server is not running or unreachable + - **Solution**: + - Verify Redis is running: `redis-cli ping` should return "PONG" + - Check Redis service status: `systemctl status redis` (Linux) or `brew services list` (macOS) + - Ensure correct port (default 6379) is not blocked by firewall + - Verify Redis URL format: `redis://hostname:port` + +### 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 @@ -77,4 +102,4 @@ docker build -t mcp/redis -f src/redis/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. \ No newline at end of file +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. diff --git a/src/redis/package.json b/src/redis/package.json index fc7f6e64..33155265 100644 --- a/src/redis/package.json +++ b/src/redis/package.json @@ -1,28 +1,31 @@ { - "name": "redis", - "version": "1.0.0", - "main": "index.js", + "name": "@modelcontextprotocol/server-redis", + "version": "0.1.0", + "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": { "redis": "./build/index.js" }, - "scripts": { - "build": "tsc && node -e \"require('fs').chmodSync('build/index.js', '755')\"" - }, "files": [ "build" ], - "keywords": [], - "author": "", - "license": "ISC", - "description": "", - "devDependencies": { - "@types/node": "^22.10.2", - "typescript": "^5.7.2" + "scripts": { + "build": "tsc && shx chmod +x build/*.js", + "prepare": "npm run build", + "watch": "tsc --watch" }, "dependencies": { - "@modelcontextprotocol/sdk": "^0.4.0", + "@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" } } diff --git a/src/redis/src/index.ts b/src/redis/src/index.ts index 2d88d981..27ce91fa 100644 --- a/src/redis/src/index.ts +++ b/src/redis/src/index.ts @@ -7,10 +7,26 @@ import { import { z } from "zod"; import { createClient } from 'redis'; -// Get Redis URL from command line args or use default +// 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 + url: REDIS_URL, + socket: { + reconnectStrategy: (retries) => { + if (retries >= MAX_RETRIES) { + console.error(`Maximum retries (${MAX_RETRIES}) reached. Giving up.`); + return new Error('Max retries reached'); + } + const delay = Math.min(Math.pow(2, retries) * MIN_RETRY_DELAY, MAX_RETRY_DELAY); + console.error(`Reconnection attempt ${retries + 1}/${MAX_RETRIES} in ${delay}ms`); + return delay; + } + } }); // Define Zod schemas for validation @@ -36,7 +52,12 @@ const ListArgumentsSchema = z.object({ const server = new Server( { name: "redis", - version: "1.0.0" + version: "0.0.1" + }, + { + capabilities: { + tools: {} + } } ); @@ -215,22 +236,51 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => { // Start the server async function main() { try { - // Connect to Redis - redisClient.on('error', (err: Error) => console.error('Redis Client Error', err)); - await redisClient.connect(); - console.error(`Connected to Redis successfully at ${REDIS_URL}`); + // Set up Redis event handlers + redisClient.on('error', (err: Error) => { + console.error('Redis Client Error:', err); + }); + redisClient.on('connect', () => { + console.error(`Connected to Redis at ${REDIS_URL}`); + }); + + redisClient.on('reconnecting', () => { + console.error('Attempting to reconnect to Redis...'); + }); + + redisClient.on('end', () => { + console.error('Redis connection closed'); + }); + + // 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) { console.error("Error during startup:", error); - await redisClient.quit(); - process.exit(1); + await cleanup(); } } +// Cleanup function +async function cleanup() { + try { + await redisClient.quit(); + } catch (error) { + console.error("Error during cleanup:", error); + } + process.exit(1); +} + +// Handle process termination +process.on('SIGINT', cleanup); +process.on('SIGTERM', cleanup); + main().catch((error) => { console.error("Fatal error in main():", error); - redisClient.quit().finally(() => process.exit(1)); -}); \ No newline at end of file + cleanup(); +});