diff --git a/.github/workflows/typescript.yml b/.github/workflows/typescript.yml
index a87cdd8f..87717166 100644
--- a/.github/workflows/typescript.yml
+++ b/.github/workflows/typescript.yml
@@ -22,8 +22,43 @@ jobs:
PACKAGES=$(find . -name package.json -not -path "*/node_modules/*" -exec dirname {} \; | sed 's/^\.\///' | jq -R -s -c 'split("\n")[:-1]')
echo "packages=$PACKAGES" >> $GITHUB_OUTPUT
- build:
+ test:
needs: [detect-packages]
+ strategy:
+ matrix:
+ package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
+ name: Test ${{ matrix.package }}
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - uses: actions/setup-node@v4
+ with:
+ node-version: 22
+ cache: npm
+
+ - name: Install dependencies
+ working-directory: src/${{ matrix.package }}
+ run: npm ci
+
+ - name: Check if tests exist
+ id: check-tests
+ working-directory: src/${{ matrix.package }}
+ run: |
+ if npm run test --silent 2>/dev/null; then
+ echo "has-tests=true" >> $GITHUB_OUTPUT
+ else
+ echo "has-tests=false" >> $GITHUB_OUTPUT
+ fi
+ continue-on-error: true
+
+ - name: Run tests
+ if: steps.check-tests.outputs.has-tests == 'true'
+ working-directory: src/${{ matrix.package }}
+ run: npm test
+
+ build:
+ needs: [detect-packages, test]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
diff --git a/README.md b/README.md
index 8a0be7d1..89138597 100644
--- a/README.md
+++ b/README.md
@@ -4,13 +4,18 @@ This repository is a collection of *reference implementations* for the [Model Co
to community built servers and additional resources.
The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
-Each MCP server is implemented with either the [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) or [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk).
+Typically, each MCP server is implemented with an MCP SDK:
+- [C# MCP SDK](https://github.com/modelcontextprotocol/csharp-sdk)
+- [Java MCP SDK](https://github.com/modelcontextprotocol/java-sdk)
+- [Kotlin MCP SDK](https://github.com/modelcontextprotocol/kotlin-sdk)
+- [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk)
+- [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk)
> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
## 🌟 Reference Servers
-These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.
+These servers aim to demonstrate MCP features and the official SDKs.
- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
@@ -45,172 +50,295 @@ The following reference servers are now archived and can be found at [servers-ar
Official integrations are maintained by companies building production ready MCP servers for their platforms.
- 
**[21st.dev Magic](https://github.com/21st-dev/magic-mcp)** - Create crafted UI components inspired by the best 21st.dev design engineers.
+- 
**[ActionKit by Paragon](https://github.com/useparagon/paragon-mcp)** - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s [ActionKit](https://www.useparagon.com/actionkit) API.
- 
**[Adfin](https://github.com/Adfin-Engineering/mcp-server-adfin)** - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with [Adfin](https://www.adfin.com/).
- 
**[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](https://github.com/agentrpc/agentrpc)** - Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/).
+- **[Agentset](https://github.com/agentset-ai/mcp-server)** - RAG for your knowledge base connected to [Agentset](https://agentset.ai).
- 
**[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
- 
**[Alation](https://github.com/Alation/alation-ai-agent-sdk)** - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
-- 
**[Algolia MCP](https://github.com/algolia/mcp-node)** Algolia MCP Server exposes a natural language interface to query, inspect, and manage Algolia indices and configs. Useful for monitoring, debugging and optimizing search performance within your agentic workflows. See [demo](https://www.youtube.com/watch?v=UgCOLcDI9Lg).
-- 
**[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server)** - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM.
+- **[Algolia](https://github.com/algolia/mcp)** - Use AI agents to provision, configure, and query your [Algolia](https://algolia.com) search indices.
- 
**[Alibaba Cloud AnalyticDB for MySQL](https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server)** - Connect to a [AnalyticDB for MySQL](https://www.alibabacloud.com/en/product/analyticdb-for-mysql) cluster for getting database or table metadata, querying and analyzing data.It will be supported to add the openapi for cluster operation in the future.
-- 
**[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server)** - Manage the lifecycle of your Alibaba Cloud resources with [CloudOps Orchestration Service](https://www.alibabacloud.com/en/product/oos) and Alibaba Cloud OpenAPI.
+- 
**[Alibaba Cloud AnalyticDB for PostgreSQL](https://github.com/aliyun/alibabacloud-adbpg-mcp-server)** - An MCP server to connect to [AnalyticDB for PostgreSQL](https://github.com/aliyun/alibabacloud-adbpg-mcp-server) instances, query and analyze data.
+- 
**[Alibaba Cloud DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server)** - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the [DataWorks](https://www.alibabacloud.com/help/en/dataworks/) Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly.
- 
**[Alibaba Cloud OpenSearch](https://github.com/aliyun/alibabacloud-opensearch-mcp-server)** - This MCP server equips AI Agents with tools to interact with [OpenSearch](https://help.aliyun.com/zh/open-search/?spm=5176.7946605.J_5253785160.6.28098651AaYZXC) through a standardized and extensible interface.
+- **[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server)** - Manage the lifecycle of your Alibaba Cloud resources with [CloudOps Orchestration Service](https://www.alibabacloud.com/en/product/oos) and Alibaba Cloud OpenAPI.
+- **[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server)** - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM.
+- 
**[AllVoiceLab](https://www.allvoicelab.com/mcp)** - An AI voice toolkit with TTS, voice cloning, and video translation, now available as an MCP server for smarter agent integration.
+- 
**[Alpaca](https://github.com/alpacahq/alpaca-mcp-server)** – Alpaca's MCP server lets you trade stocks and options, analyze market data, and build strategies through [Alpaca's Trading API](https://alpaca.markets/)
+- 
**[AlphaVantage](https://github.com/calvernaz/alphavantage)** - Connect to 100+ APIs for financial market data, including stock prices, fundamentals, and more from [AlphaVantage](https://www.alphavantage.co)
+- 
**[Apache Doris](https://github.com/apache/doris-mcp-server)** - MCP Server For [Apache Doris](https://doris.apache.org/), an MPP-based real-time data warehouse.
- 
**[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools
- 
**[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 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.
- 
**[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents
+- 
**[Aqara MCP Server](https://github.com/aqara/aqara-mcp-server/)** - Control [Aqara](https://www.aqara.com/) smart home devices, query status, execute scenes, and much more using natural language.
+- 
**[Archbee](https://www.npmjs.com/package/@archbee/mcp)** - Write and publish documentation that becomes the trusted source for instant answers with AI. Stop cobbling tools and use [Archbee](https://www.archbee.com/) — the first complete documentation platform.
- 
**[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments using [Arize Phoenix](https://github.com/Arize-ai/phoenix), an open-source AI and LLM observability tool.
+- 
**[Armor Crypto MCP](https://github.com/armorwallet/armor-crypto-mcp)** - MCP to interface with multiple blockchains, staking, DeFi, swap, bridging, wallet management, DCA, Limit Orders, Coin Lookup, Tracking and more.
- 
**[Asgardeo](https://github.com/asgardeo/asgardeo-mcp-server)** - MCP server to interact with your [Asgardeo](https://wso2.com/asgardeo) organization through LLM tools.
- 
**[Astra DB](https://github.com/datastax/astra-db-mcp)** - Comprehensive tools for managing collections and documents in a [DataStax Astra DB](https://www.datastax.com/products/datastax-astra) NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions.
+- 
**[Atla](https://github.com/atla-ai/atla-mcp-server)** - Enable AI agents to interact with the [Atla API](https://docs.atla-ai.com/) for state-of-the-art LLMJ evaluation.
- 
**[Atlan](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)** - The Atlan Model Context Protocol server allows you to interact with the [Atlan](https://www.atlan.com/) services through multiple tools.
+- 
**[AtomGit](https://atomgit.com/atomgit-open-source-ecosystem/atomgit-mcp-server)** - Official AtomGit server for integration with repository management, PRs, issues, branches, labels, and more.
- 
**[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.
+- 
**[Auth0](https://github.com/auth0/auth0-mcp-server)** - MCP server for interacting with your Auth0 tenant, supporting creating and modifying actions, applications, forms, logs, resource servers, and more.
+- 
**[Authenticator App · 2FA](https://github.com/firstorderai/authenticator_mcp)** - A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App.
- 
**[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow.
- 
**[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
- 
**[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.
+- 
**[Baidu Map](https://github.com/baidu-maps/mcp)** - [Baidu Map MCP Server](https://lbsyun.baidu.com/faq/api?title=mcpserver/base) provides tools for AI agents to interact with Baidu Maps APIs, enabling location-based services and geospatial data analysis.
- 
**[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
- 
**[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names.
- 
**[Bitrise](https://github.com/bitrise-io/bitrise-mcp)** - Chat with your builds, CI, and [more](https://bitrise.io/blog/post/chat-with-your-builds-ci-and-more-introducing-the-bitrise-mcp-server).
+- 
**[BoldSign](https://github.com/boldsign/boldsign-mcp)** - Search, request, and manage e-signature contracts effortlessly with [BoldSign](https://boldsign.com/).
+- 
**[Boost.space](https://github.com/boostspace/boostspace-mcp-server)** - An MCP server integrating with [Boost.space](https://boost.space) for centralized, automated business data from 2000+ sources.
- 
**[Box](https://github.com/box-community/mcp-server-box)** - Interact with the Intelligent Content Management platform through Box AI.
+- 
**[BrightData](https://github.com/luminati-io/brightdata-mcp)** - Discover, extract, and interact with the web - one interface powering automated access across the public internet.
- 
**[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
- 
**[BrowserStack](https://github.com/browserstack/mcp-server)** - Access BrowserStack's [Test Platform](https://www.browserstack.com/test-platform) to debug, write and fix tests, do accessibility testing and more.
+- 
**[Bucket](https://github.com/bucketco/bucket-javascript-sdk/tree/main/packages/cli#model-context-protocol)** - Flag features, manage company data, and control feature access using [Bucket](https://bucket.co)
+- 
**[BuiltWith](https://github.com/builtwith/mcp)** - Identify the technology stack behind any website.
- 
**[Burp Suite](https://github.com/PortSwigger/mcp-server)** - MCP Server extension allowing AI clients to connect to [Burp Suite](https://portswigger.net)
+- 
**[Campertunity](https://github.com/campertunity/mcp-server)** - Search campgrounds around the world on campertunity, check availability, and provide booking links.
- 
**[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.
-- 
**[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
-- 
**[Chiki StudIO](https://chiki.studio/galimybes/mcp/)** - Create your own configurable MCP servers purely via configuration (no code), with instructions, prompts, and tools support.
-- 
**[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database
+- 
**[Cashfree](https://github.com/cashfree/cashfree-mcp)** - [Cashfree Payments](https://www.cashfree.com/) official MCP server.
+- **[CB Insights](https://github.com/cbinsights/cbi-mcp-server)** - Use the [CB Insights](https://www.cbinsights.com) MCP Server to connect to [ChatCBI](https://www.cbinsights.com/chatcbi/)
+- **[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
+- 
**[Cheqd](https://github.com/cheqd/mcp-toolkit)** - Enable AI Agents to be trusted, verified, prevent fraud, protect your reputation, and more through [cheqd's](https://cheqd.io) Trust Registries and Credentials.
+- **[Chiki StudIO](https://chiki.studio/galimybes/mcp/)** - Create your own configurable MCP servers purely via configuration (no code), with instructions, prompts, and tools support.
+- **[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](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents.
- 
**[CircleCI](https://github.com/CircleCI-Public/mcp-server-circleci)** - Enable AI Agents to fix build failures from CircleCI.
- 
**[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server.
+- 
**[Cloudera Iceberg](https://github.com/cloudera/iceberg-mcp-server)** - enabling AI on the [Open Data Lakehouse](https://www.cloudera.com/products/open-data-lakehouse.html).
- 
**[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- 
**[Codacy](https://github.com/codacy/codacy-mcp-server/)** - Interact with [Codacy](https://www.codacy.com) API to query code quality issues, vulnerabilities, and coverage insights about your code.
- 
**[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.
+- 
**[CoinGecko](https://github.com/coingecko/coingecko-typescript/tree/main/packages/mcp-server)** - Official [CoinGecko API](https://www.coingecko.com/en/api) MCP Server for Crypto Price & Market Data, across 200+ Blockchain Networks and 8M+ Tokens.
- 
**[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.
-- 
**[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
-- 
**[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
-- 
**[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters.
+- **[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
+- 
**[Contrast Security](https://github.com/Contrast-Security-OSS/mcp-contrast)** - Brings Contrast's vulnerability and SCA data into your coding agent to quickly remediate vulnerabilities.
+- **[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
+- 
**[Couchbase](https://github.com/Couchbase-Ecosystem/mcp-server-couchbase)** - Interact with the data stored in Couchbase clusters.
- 
**[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.
+- 
**[Cycode](https://github.com/cycodehq/cycode-cli#mcp-command-experiment)** - Boost security in your dev lifecycle via SAST, SCA, Secrets & IaC scanning with [Cycode](https://cycode.com/).
- 
**[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
- 
**[CTERA Portal](https://github.com/ctera/mcp-ctera-core)** - CTERA Portal is a multi-tenant, multi-cloud platform that delivers a global namespace and unified management across petabytes of distributed content.
- **[CTERA Edge Filer](https://github.com/ctera/mcp-ctera-edge)** - CTERA Edge Filer delivers intelligent edge caching and multiprotocol file access, enabling fast, secure access to files across core and remote sites.
- 
**[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.
-- 
**[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.
+- 
**[Daytona](https://github.com/daytonaio/daytona/tree/main/apps/cli/mcp)** - Fast and secure execution of your AI generated code with [Daytona](https://daytona.io) sandboxes
+- 
**[Debugg.AI](https://github.com/debugg-ai/debugg-ai-mcp)** - Zero-Config, Fully AI-Managed End-to-End Testing for any code gen platform via [Debugg.AI](https://debugg.ai) remote browsing test agents.
+- 
**[DeepL](https://github.com/DeepLcom/deepl-mcp-server)** - Translate or rewrite text with [DeepL](https://deepl.com)'s very own AI models using [the DeepL API](https://developers.deepl.com/docs)
+- 
**[Defang](https://github.com/DefangLabs/defang/blob/main/src/pkg/mcp/README.md)** - Deploy your project to the cloud seamlessly with the [Defang](https://www.defang.io) platform without leaving your integrated development environment
- 
**[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform
- 
**[DevRev](https://github.com/devrev/mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. Sources listed [here](https://devrev.ai/docs/import#available-sources).
+- **[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.
+- 
**[Dumpling AI](https://github.com/Dumpling-AI/mcp-server-dumplingai)** - Access data, web scraping, and document conversion APIs by [Dumpling AI](https://www.dumplingai.com/)
- 
**[Dynatrace](https://github.com/dynatrace-oss/dynatrace-mcp)** - Manage and interact with the [Dynatrace Platform ](https://www.dynatrace.com/platform) for real-time observability and monitoring.
- 
**[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev)
- 
**[Edgee](https://github.com/edgee-cloud/mcp-server-edgee)** - Deploy and manage [Edgee](https://www.edgee.cloud) components and projects
- 
**[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](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch)
+- 
**[Endor Labs](https://docs.endorlabs.com/deployment/ide/mcp/)** - Find and fix security risks in you code. Integrate [Endor Labs](https://endorlabs.com) to scan and secure your code from vulnerabilities and secret leaks.
- 
**[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
- 
**[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
+- **[FalkorDB](https://github.com/FalkorDB/FalkorDB-MCPServer)** - FalkorDB graph database server get schema and read/write-cypher [FalkorDB](https://www.falkordb.com)
- 
**[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
- 
**[Fibery](https://github.com/Fibery-inc/fibery-mcp-server)** - Perform queries and entity operations in your [Fibery](https://fibery.io) workspace.
- 
**[Financial Datasets](https://github.com/financial-datasets/mcp-server)** - Stock market API made for AI agents
+- 
**[Firebase](https://github.com/firebase/firebase-tools/blob/master/src/mcp)** - Firebase's experimental [MCP Server](https://firebase.google.com/docs/cli/mcp-server) to power your AI Tools
- 
**[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
+- 
**[Firefly](https://github.com/gofireflyio/firefly-mcp)** - Integrates, discovers, manages, and codifies cloud resources with [Firefly](https://firefly.ai).
- 
**[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
-- 
**[Github](https://github.com/github/github-mcp-server)** - GitHub's official MCP Server
+- 
**[Fluid Attacks](https://github.com/fluidattacks/mcp)** - Interact with the [Fluid Attacks](https://fluidattacks.com/) API, enabling vulnerability management, organization insights, and GraphQL query execution.
+- 
**[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- 
**[GibsonAI](https://github.com/GibsonAI/mcp)** - AI-Powered Cloud databases: Build, migrate, and deploy database instances with AI
- 
**[Gitea](https://gitea.com/gitea/gitea-mcp)** - Interact with Gitea instances with MCP.
- 
**[Gitee](https://github.com/oschina/mcp-gitee)** - Gitee API integration, repository, issue, and pull request management, and more.
+- **[Github](https://github.com/github/github-mcp-server)** - GitHub's official MCP Server
- 
**[Glean](https://github.com/gleanwork/mcp-server)** - Enterprise search and chat using Glean's API.
-- 
**[Gyazo](https://github.com/nota/gyazo-mcp-server)** - Search, fetch, upload, and interact with Gyazo images, including metadata and OCR data.
+- 
**[Globalping](https://github.com/jsdelivr/globalping-mcp-server)** - Access a network of thousands of probes to run network commands like ping, traceroute, mtr, http and DNS resolve.
+- 
**[gNucleus Text-To-CAD](https://github.com/gNucleus/text-to-cad-mcp)** - Generate CAD parts and assemblies from text using gNucleus AI models.
+- 
**[Google Cloud Run](https://github.com/GoogleCloudPlatform/cloud-run-mcp)** - Deploy code to Google Cloud Run
- 
**[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](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
- 
**[Grafbase](https://github.com/grafbase/grafbase/tree/main/crates/mcp)** - Turn your GraphQL API into an efficient MCP server with schema intelligence in a single command.
- 
**[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.
- 
**[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).
+- **[Gyazo](https://github.com/nota/gyazo-mcp-server)** - Search, fetch, upload, and interact with Gyazo images, including metadata and OCR data.
+- 
**[Harper](https://github.com/HarperDB/mcp-server)** - An MCP server providing an interface for MCP clients to access data within [Harper](https://www.harpersystems.dev/).
- 
**[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](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.
- 
**[Honeycomb](https://github.com/honeycombio/honeycomb-mcp)** Allows [Honeycomb](https://www.honeycomb.io/) Enterprise customers to query and analyze their data, alerts, dashboards, and more; and cross-reference production behavior with the codebase.
- 
**[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data
+- 
**[Hugging Face](https://huggingface.co/settings/mcp)** - Connect to the Hugging Face Hub APIs programmatically: semantic search for spaces and papers, exploration of datasets and models, and access to all compatible MCP Gradio tool spaces!
+- 
**[Hunter](https://github.com/hunter-io/hunter-mcp)** - Interact with the [Hunter API](https://hunter.io) to get B2B data using natural language.
+- 
**[Hyperbolic](https://github.com/HyperbolicLabs/hyperbolic-mcp)** - Interact with Hyperbolic's GPU cloud, enabling agents and LLMs to view and rent available GPUs, SSH into them, and run GPU-powered workloads for you.
- 
**[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
-- **[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- 
**[Inbox Zero](https://github.com/elie222/inbox-zero/tree/main/apps/mcp-server)** - AI personal assistant for email [Inbox Zero](https://www.getinboxzero.com)
+- 
**[Inflectra Spira](https://github.com/Inflectra/mcp-server-spira)** - Connect to your instance of the SpiraTest, SpiraTeam or SpiraPlan application lifecycle management platform by [Inflectra](https://www.inflectra.com)
- 
**[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com)
- 
**[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
+- 
**[JFrog](https://github.com/jfrog/mcp-jfrog)** - Model Context Protocol (MCP) Server for the [JFrog](https://jfrog.com/) Platform API, enabling repository management, build tracking, release lifecycle management, and more.
- 
**[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
- 
**[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform.
+- 
**[KeywordsPeopleUse.com](https://github.com/data-skunks/kpu-mcp)** - Find questions people ask online with [KeywordsPeopleUse](https://keywordspeopleuse.com).
- 
**[Klavis ReportGen](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/report_generation)** - Create professional reports from a simple user query.
+- 
**[Knit MCP Server](https://developers.getknit.dev/docs/knit-mcp-server-getting-started)** - Production-ready remote MCP servers that enable you to connect with 10000+ tools across CRM, HRIS, Payroll, Accounting, ERP, Calendar, Expense Management, and Chat categories.
+- 
**[Knock MCP Server](https://github.com/knocklabs/agent-toolkit#model-context-protocol-mcp)** - Send product and customer messaging across email, in-app, push, SMS, Slack, MS Teams.
+- 
**[KurrentDB](https://github.com/kurrent-io/mcp-server)** - This is a simple MCP server to help you explore data and prototype projections faster on top of KurrentDB.
+- 
**[Kuzu](https://github.com/kuzudb/kuzu-mcp-server)** - This server enables LLMs to inspect database schemas and execute queries on the provided Kuzu graph database. See [blog](https://blog.kuzudb.com/post/2025-03-23-kuzu-mcp-server/)) for a debugging use case.
- 
**[KWDB](https://github.com/KWDB/kwdb-mcp-server)** - Reading, writing, querying, modifying data, and performing DDL operations with data in your KWDB Database.
-- 
**[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](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire.
+- 
**[Label Studio](https://github.com/HumanSignal/label-studio-mcp-server)** - Open Source data labeling platform.
+- 
**[Lambda Capture](https://github.com/lambda-capture/mcp-server)** - Macroeconomic Forecasts & Semantic Context from Federal Reserve, Bank of England, ECB.
- 
**[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
+- **[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.
+- 
**[Last9](https://github.com/last9/last9-mcp-server)** - Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
- 
**[LaunchDarkly](https://github.com/launchdarkly/mcp-server)** - LaunchDarkly is a continuous delivery platform that provides feature flags as a service and allows developers to iterate quickly and safely.
+- 
**[LINE](https://github.com/line/line-bot-mcp-server)** - Integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.
- 
**[Linear](https://linear.app/docs/mcp)** - Search, create, and update Linear issues, projects, and comments.
- 
**[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.
+- 
**[LinkedIn MCP Runner](https://github.com/ertiqah/linkedin-mcp-runner)** - Write, edit, and schedule LinkedIn posts right from ChatGPT and Claude with [LiGo](https://ligo.ertiqah.com/).
+- 
**[Lisply](https://github.com/gornskew/lisply-mcp)** - Flexible frontend for compliant Lisp-speaking backends.
- 
**[Litmus.io](https://github.com/litmusautomation/litmus-mcp-server)** - Official MCP server for configuring [Litmus](https://litmus.io) Edge for Industrial Data Collection, Edge Analytics & Industrial AI.
+- 
**[Liveblocks](https://github.com/liveblocks/liveblocks-mcp-server)** - Ready‑made features for AI & human collaboration—use this to develop your [Liveblocks](https://liveblocks.io) app quicker.
+- **[Logfire](https://github.com/pydantic/logfire-mcp)** - Provides access to OpenTelemetry traces and metrics through Logfire.
+- 
**[Magic Meal Kits](https://github.com/pureugong/mmk-mcp)** - Unleash Make's Full Potential by [Magic Meal Kits](https://make.magicmealkits.com/)
- 
**[Mailgun](https://github.com/mailgun/mailgun-mcp-server)** - Interact with Mailgun API.
- 
**[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants.
+- 
**[Mapbox](https://github.com/mapbox/mcp-server)** - Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.
+- 
**[MCP Discovery](https://github.com/rust-mcp-stack/mcp-discovery)** - A lightweight CLI tool built in Rust for discovering MCP server capabilities.
- 
**[MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox)** - Open source MCP server specializing in easy, fast, and secure tools for Databases. Supports AlloyDB, BigQuery, Bigtable, Cloud SQL, Dgraph, MySQL, Neo4j, Postgres, Spanner, and more.
- 
**[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
- 
**[Memgraph](https://github.com/memgraph/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
-- 
**[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
+- **[Memgraph](https://github.com/memgraph/ai-toolkit/tree/main/integrations/mcp-memgraph)** - Query your data in [Memgraph](https://memgraph.com/) graph database.
- 
**[Mercado Pago](https://mcp.mercadopago.com/)** - Mercado Pago's official MCP server.
+- **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
- 
**[Microsoft Clarity](https://github.com/microsoft/clarity-mcp-server)** - Official MCP Server to get your behavioral analytics data and insights from [Clarity](https://clarity.microsoft.com)
- 
**[Microsoft Dataverse](https://go.microsoft.com/fwlink/?linkid=2320176)** - Chat over your business data using NL - Discover tables, run queries, retrieve data, insert or update records, and execute custom prompts grounded in business knowledge and context.
+- 
**[Microsoft Docs](https://github.com/microsoftdocs/mcp)** - An MCP server that provides structured access to Microsoft’s official documentation. Retrieves accurate, authoritative, and context-aware technical content for code generation, question answering, and workflow grounding.
- 
**[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
- 
**[Momento](https://github.com/momentohq/mcp-momento)** - Momento Cache lets you quickly improve your performance, reduce costs, and handle load at any scale.
- 
**[MongoDB](https://github.com/mongodb-js/mongodb-mcp-server)** - Both MongoDB Community Server and MongoDB Atlas are supported.
- 
**[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
+- 
**[NanoVMs](https://github.com/nanovms/ops-mcp)** - Easily Build and Deploy unikernels to any cloud.
- 
**[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- 
**[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- 
**[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
+- 
**[Nerve](https://github.com/nerve-hq/nerve-mcp-server)** - Search and Act on all your company data across all your SaaS apps via [Nerve](https://www.usenerve.com/)
+- 
**[Netdata](https://github.com/netdata/netdata/blob/master/src/web/mcp/README.md)** - Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
- 
**[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform.
+- 
**[Nile](https://github.com/niledatabase/nile-mcp-server)** - An MCP server that talks to Nile - Postgres re-engineered for B2B apps. Manage and query databases, tenants, users, auth using LLMs
+- 
**[Nodit](https://github.com/noditlabs/nodit-mcp-server)** - Official Nodit MCP Server enabling access to multi-chain RPC Nodes and Data APIs for blockchain data.
+- 
**[Norman Finance](https://github.com/norman-finance/norman-mcp-server)** - MCP server for managing accounting and taxes with Norman Finance.
- 
**[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API.
+- 
**[Nutrient](https://github.com/PSPDFKit/nutrient-dws-mcp-server)** - Create, Edit, Sign, Extract Documents using Natural Language
+- 
**[Nx](https://github.com/nrwl/nx-console/blob/master/apps/nx-mcp)** - Makes [Nx's understanding](https://nx.dev/features/enhance-AI) of your codebase accessible to LLMs, providing insights into the codebase architecture, project relationships and runnable tasks thus allowing AI to make precise code suggestions.
- 
**[OceanBase](https://github.com/oceanbase/mcp-oceanbase)** - MCP Server for OceanBase database and its tools
- 
**[Octagon](https://github.com/OctagonAI/octagon-mcp-server)** - Deliver real-time investment research with extensive private and public market data.
+- 
**[OctoEverywhere](https://github.com/OctoEverywhere/mcp)** - A 3D Printing MCP server that allows for querying for live state, webcam snapshots, and 3D printer control.
+- 
**[Offorte](https://github.com/offorte/offorte-mcp-server#readme)** - Offorte Proposal Software official MCP server enables creation and sending of business proposals.
- 
**[OlaMaps](https://pypi.org/project/ola-maps-mcp-server)** - Official Ola Maps MCP Server for services like geocode, directions, place details and many more.
+- 
**[ONLYOFFICE DocSpace](https://github.com/ONLYOFFICE/docspace-mcp)** - Interact with [ONLYOFFICE DocSpace](https://www.onlyoffice.com/docspace.aspx) API to create rooms, manage files and folders.
- 
**[OP.GG](https://github.com/opgginc/opgg-mcp)** - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and character statistics.
+- 
**[OpenSearch](https://github.com/opensearch-project/opensearch-mcp-server-py)** - MCP server that enables AI agents to perform search and analytics use cases on data stored in [OpenSearch](https://opensearch.org/).
- 
**[OpsLevel](https://github.com/opslevel/opslevel-mcp)** - Official MCP Server for [OpsLevel](https://www.opslevel.com).
+- 
**[Optuna](https://github.com/optuna/optuna-mcp)** - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).
- 
**[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
- 
**[Paddle](https://github.com/PaddleHQ/paddle-mcp-server)** - Interact with the Paddle API. Manage product catalog, billing and subscriptions, and reports.
-- 
**[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come.
+- **[Pagos](https://github.com/pagos-ai/pagos-mcp)** - Interact with the Pagos API. Query Credit Card BIN Data with more to come.
+- 
**[PAIML MCP Agent Toolkit](https://github.com/paiml/paiml-mcp-agent-toolkit)** - Professional project scaffolding toolkit with zero-configuration AI context generation, template generation for Rust/Deno/Python projects, and hybrid neuro-symbolic code analysis.
+- 
**[Paper](https://github.com/paperinvest/mcp-server)** - Realistic paper trading platform with market simulation, 22 broker emulations, and professional tools for risk-free trading practice. First trading platform with MCP integration.
+- **[Patronus AI](https://github.com/patronus-ai/patronus-mcp-server)** - Test, evaluate, and optimize AI agents and RAG apps
- 
**[PayPal](https://mcp.paypal.com)** - PayPal's official MCP server.
+- 
**[Pearl](https://github.com/Pearl-com/pearl_mcp_server)** - Official MCP Server to interact with Pearl API. Connect your AI Agents with 12,000+ certified experts instantly.
- 
**[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.
- 
**[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment.
- **[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.
+- 
**[Pipedream](https://github.com/PipedreamHQ/pipedream/tree/master/modelcontextprotocol)** - Connect with 2,500 APIs with 8,000+ prebuilt tools.
+- 
**[PlayCanvas](https://github.com/playcanvas/editor-mcp-server)** - Create interactive 3D web apps with the PlayCanvas Editor.
+- 
**[Plugged.in](https://github.com/VeriTeknik/pluggedin-mcp)** - A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
+- 
**[Port IO](https://github.com/port-labs/port-mcp-server)** - Access and manage your software catalog to improve service quality and compliance.
+- **[PostHog](https://github.com/posthog/mcp)** - Interact with PostHog analytics, feature flags, error tracking and more with the official PostHog MCP server.
+- 
**[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - An MCP server that provides tools to interact with Powerdrill datasets, enabling smart AI data analysis and insights.
- 
**[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases
+- 
**[proxymock](https://docs.speedscale.com/proxymock/reference/mcp/)** - An MCP server that automatically generates tests and mocks by recording a live app.
+- 
**[PubNub](https://github.com/pubnub/pubnub-mcp-server)** - Retrieves context for developing with PubNub SDKs and calling APIs.
- 
**[Pulumi](https://github.com/pulumi/mcp-server)** - Deploy and manage cloud infrastructure using [Pulumi](https://pulumi.com).
- 
**[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).
- 
**[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
-- 
**[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.
-- 
**[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis.
-- **[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
-- 
**[Snyk](https://github.com/snyk/snyk-ls/blob/main/mcp_extension/README.md)** - Enhance security posture by embedding [Snyk](https://snyk.io/) vulnerability scanning directly into agentic workflows.
- 
**[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
+- **[Quickchat AI](https://github.com/incentivai/quickchat-ai-mcp)** - Launch your conversational [Quickchat AI](https://quickchat.ai) agent as an MCP to give AI apps real-time access to its Knowledge Base and conversational capabilities
+- **[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.
- 
**[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
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
+- 
**[Razorpay](https://github.com/razorpay/razorpay-mcp-server)** - Razorpay's official MCP server
+- 
**[Recraft](https://github.com/recraft-ai/mcp-recraft-server)** - Generate raster and vector (SVG) images using [Recraft](https://recraft.ai). Also you can edit, upscale images, create your own styles, and vectorize raster images
+- **[Redis](https://github.com/redis/mcp-redis/)** - The Redis official MCP Server offers an interface to manage and search data in Redis.
+- **[Redis Cloud API](https://github.com/redis/mcp-redis-cloud/)** - The Redis Cloud API MCP Server allows you to manage your Redis Cloud resources using natural language.
+- 
**[Reexpress](https://github.com/ReexpressAI/reexpress_mcp_server)** - Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows
- 
**[Rember](https://github.com/rember/rember-mcp)** - Create spaced repetition flashcards in [Rember](https://rember.com) to remember anything you learn in your chats
+- 
**[Revit](https://github.com/NonicaTeam/AI-Connector-for-Revit)** - Connect and interact with your Revit models live.
+- 
**[Rill Data](https://docs.rilldata.com/explore/mcp)** - Interact with Rill Data to query and analyze your data.
- 
**[Riza](https://github.com/riza-io/riza-mcp)** - Arbitrary code execution and tool-use platform for LLMs by [Riza](https://riza.io)
+- 
**[Roblox Studio](https://github.com/Roblox/studio-rust-mcp-server)** - Roblox Studio MCP Server, create and manipulate scenes, scripts in Roblox Studio
+- 
**[Rodin](https://github.com/DeemosTech/rodin-api-mcp)** - Generate 3D Models with [Hyper3D Rodin](https://hyper3d.ai)
- .png)
**[Root Signals](https://github.com/root-signals/root-signals-mcp)** - Improve and quality control your outputs with evaluations using LLM-as-Judge
-- 
[Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
+- **[Routine](https://github.com/routineco/mcp-server)** - MCP server to interact with [Routine](https://routine.co/): calendars, tasks, notes, etc.
+- 
**[SafeDep](https://github.com/safedep/vet/blob/main/docs/mcp.md)** - SafeDep `vet-mcp` helps in vetting open source packages for security risks—such as vulnerabilities and malicious code—before they're used in your project, especially with AI-generated code suggestions.
+- 
**[SafeLine](https://github.com/chaitin/SafeLine/tree/main/mcp_server)** - [SafeLine](https://safepoint.cloud/landing/safeline) is a self-hosted WAF(Web Application Firewall) to protect your web apps from attacks and exploits.
+- 
**[ScrAPI](https://github.com/DevEnterpriseSoftware/scrapi-mcp)** - Web scraping using [ScrAPI](https://scrapi.tech). Extract website content that is difficult to access because of bot detection, captchas or even geolocation restrictions.
- 
**[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/)
+- **[Search1API](https://github.com/fatwang2/search1api-mcp)** - One API for Search, Crawling, and Sitemaps
- 
**[Semgrep](https://github.com/semgrep/mcp)** - Enable AI agents to secure code with [Semgrep](https://semgrep.dev/).
+- 
**[Shortcut](https://github.com/useshortcut/mcp-server-shortcut)** - Access and implement all of your projects and tasks (Stories) from [Shortcut](https://shortcut.com/).
- 
**[SingleStore](https://github.com/singlestore-labs/mcp-server-singlestore)** - Interact with the SingleStore database platform
+- **[Snyk](https://github.com/snyk/snyk-ls/blob/main/mcp_extension/README.md)** - Enhance security posture by embedding [Snyk](https://snyk.io/) vulnerability scanning directly into agentic workflows.
+- 
**[Sophtron](https://github.com/sophtron/Sophtron-Integration/tree/main/modelcontextprotocol)** - Connect to your bank, credit card, utilities accounts to retrieve account balances and transactions with [Sophtron Bank Integration](https://sophtron.com).
- 
**[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/)
+- 
**[Steadybit](https://github.com/steadybit/mcp)** - Interact with [Steadybit](https://www.steadybit.com/)
- 
**[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
+- 
**[Tako](https://github.com/TakoData/tako-mcp)** - Use natural language to search [Tako](https://trytako.com) for real-time financial, sports, weather, and public data with visualization
- 
**[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
- 
**[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)
+- 
**[TextIn](https://github.com/intsig-textin/textin-mcp)** - An MCP server for the [TextIn](https://www.textin.com/?from=github_mcp) API, is a tool for extracting text and performing OCR on documents, it also supports converting documents into Markdown
+- 
**[Thena](https://mcp.thena.ai)** - Thena's MCP server for enabling users and AI agents to interact with Thena's services and manage customers across different channels such as Slack, Email, Web, Discord etc.
- 
**[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/)
+- 
**[ThoughtSpot](https://github.com/thoughtspot/mcp-server)** - AI is the new BI. A dedicated data analyst for everyone on your team. Bring [ThoughtSpot](https://thoughtspot.com) powers into Claude or any MCP host.
- 
**[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/).
- 
**[TiDB](https://github.com/pingcap/pytidb)** - MCP Server to interact with TiDB database platform.
- 
**[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
- 
**[Tldv](https://gitlab.com/tldv/tldv-mcp-server)** - Connect your AI agents to Google-Meet, Zoom & Microsoft Teams through [tl;dv](https://tldv.io)
+- 
**[Trade Agent](https://github.com/Trade-Agent/trade-agent-mcp)** - Execute stock and crypto trades on your brokerage via [Trade Agent](https://thetradeagent.ai)
+- 
**[Twilio](https://github.com/twilio-labs/mcp)** - Interact with [Twilio](https://www.twilio.com/en-us) APIs to send SMS messages, manage phone numbers, configure your account, and more.
- 
**[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
- 
**[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io)
- 
**[Upstash](https://github.com/upstash/mcp-server)** - Manage Redis databases and run Redis commands on [Upstash](https://upstash.com/) with natural language.
+- 
**[Vantage](https://github.com/vantage-sh/vantage-mcp-server)** - Interact with your organization's cloud cost spend.
+- 
**[VariFlight](https://github.com/variflight/variflight-mcp)** - VariFlight's official MCP server provides tools to query flight information, weather data, comfort metrics, the lowest available fares, and other civil aviation-related data.
+- **[VCAgents](https://github.com/OctagonAI/octagon-vc-agents)** - Interact with investor agents—think Wilson or Thiel—continuously updated with market intel.
- **[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.
- 
**[Verbwire](https://github.com/verbwire/verbwire-mcp-server)** - Deploy smart contracts, mint NFTs, manage IPFS storage, and more through the Verbwire API
- 
**[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform
- 
**[VeyraX](https://github.com/VeyraX/veyrax-mcp)** - Single tool to control all 100+ API integrations, and UI components
-- 
**[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more
+- 
**[VictoriaMetrics](https://github.com/VictoriaMetrics-Community/mcp-victoriametrics)** - Comprehensive integration with [VictoriaMetrics APIs](https://docs.victoriametrics.com/victoriametrics/url-examples/) and [documentation](https://docs.victoriametrics.com/) for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances.
+- 
**[VideoDB Director](https://github.com/video-db/agent-toolkit/tree/main/modelcontextprotocol)** - Create AI-powered video workflows including automatic editing, content moderation, voice cloning, highlight generation, and searchable video moments—all accessible via simple APIs and intuitive chat-based interfaces.
+- 
**[Vizro](https://github.com/mckinsey/vizro/tree/main/vizro-mcp)** - Tools and templates to create validated and maintainable data charts and dashboards
- 
**[WaveSpeed](https://github.com/WaveSpeedAI/mcp-server)** - WaveSpeed MCP server providing AI agents with image and video generation capabilities.
+- **[WayStation](https://github.com/waystation-ai/mcp)** - Universal MCP server to connect to popular productivity tools such as Notion, Monday, AirTable, and many more
+- 
**[Webflow](https://github.com/webflow/mcp-server)** - Interact with Webflow sites, pages, and collections
+- 
**[WebScraping.AI](https://github.com/webscraping-ai/webscraping-ai-mcp-server)** - Interact with **[WebScraping.AI](https://WebScraping.AI)** for web data extraction and scraping
- 
**[Xero](https://github.com/XeroAPI/xero-mcp-server)** - Interact with the accounting data in your business using our official MCP server
+- 
**[YDB](https://github.com/ydb-platform/ydb-mcp)** - Query [YDB](https://ydb.tech/) databases
+- 
**[YepCode](https://github.com/yepcode/mcp-server-js)** - Run code in a secure, scalable sandbox environment with full support for dependencies, secrets, logs, and access to APIs or databases. Powered by [YepCode](https://yepcode.io)
- 
**[YugabyteDB](https://github.com/yugabyte/yugabytedb-mcp-server)** - MCP Server to interact with your [YugabyteDB](https://www.yugabyte.com/) database
+- 
**[Yunxin](https://github.com/netease-im/yunxin-mcp-server)** - An MCP server that connects to Yunxin's IM/RTC/DATA Open-API
- 
**[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
+- 
**[ZIZAI Recruitment](https://github.com/zaiwork/mcp)** - Interact with the next-generation intelligent recruitment platform for employees and employers, powered by [ZIZAI Recruitment](https://zizai.work).
### 🌎 Community Servers
@@ -222,14 +350,14 @@ A growing set of community-developed and maintained servers demonstrates various
- **[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.
- **[Actor Critic Thinking](https://github.com/aquarius-wing/actor-critic-thinking-mcp)** - Actor-critic thinking for performance evaluation
-- **[Agentset](https://github.com/agentset-ai/mcp-server)** - RAG for your knowledge base connected to [Agentset](https://agentset.ai).
+- **[AgentBay](https://github.com/Michael98671/agentbay)** - An MCP server for providing serverless cloud infrastructure for AI agents.
- **[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.
+- **[ai-Bible](https://github.com/AdbC99/ai-bible)** - Search the bible reliably and repeatably [ai-Bible Labs](https://ai-bible.com)
- **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details.
- **[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.
- **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server.
- **[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.
-- **[AlphaVantage](https://github.com/calvernaz/alphavantage)** - MCP server for stock market data API [AlphaVantage](https://www.alphavantage.co)
- **[Amadeus](https://github.com/donghyun-chae/mcp-amadeus)** (by donghyun-chae) - An MCP server to access, explore, and interact with Amadeus Flight Offers Search API for retrieving detailed flight options, including airline, times, duration, and pricing data.
- **[Amazon Ads](https://github.com/MarketplaceAdPros/amazon-ads-mcp-server)** - MCP Server that provides interaction capabilities with Amazon Advertising through [MarketplaceAdPros](https://marketplaceadpros.com)/
- **[Anki](https://github.com/scorzeth/anki-mcp-server)** - An MCP server for interacting with your [Anki](https://apps.ankiweb.net) decks and cards.
@@ -240,6 +368,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Apple Books](https://github.com/vgnshiyer/apple-books-mcp)** - Interact with your library on Apple Books, manage your book collection, summarize highlights, notes, and much 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.
- **[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.
+- **[APT MCP](https://github.com/GdMacmillan/apt-mcp-server)** - MCP server which runs debian package manager (apt) commands for you using ai agents.
- **[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.
- **[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.
@@ -270,12 +399,14 @@ 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.
+- **[BNBChain MCP](https://github.com/bnb-chain/bnbchain-mcp)** - An MCP server for interacting with BSC, opBNB, and the Greenfield blockchain.
- **[BreakoutRoom](https://github.com/agree-able/room-mcp)** - Agents accomplishing goals together in p2p rooms
- **[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.
- **[BrowserLoop](https://github.com/mattiasw/browserloop)** - An MCP server for taking screenshots of web pages using Playwright. Supports high-quality capture with configurable formats, viewport sizes, cookie-based authentication, and both full page and element-specific screenshots.
- **[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.
- **[BVG MCP Server - (Unofficial) ](https://github.com/svkaizoku/mcp-bvg)** - Unofficial MCP server for Berliner Verkehrsbetriebe Api.
- **[Calculator](https://github.com/githejie/mcp-server-calculator)** - This server enables LLMs to use calculator for precise numerical calculations.
+- **[CalDAV MCP](https://github.com/dominik1001/caldav-mcp)** - A CalDAV MCP server to expose calendar operations as tools for AI assistants.
- **[Calendly](https://github.com/universal-mcp/calendly)** - Calendly MCP server from **[agentr](https://agentr.dev/)** that provides support for managing events and scheduling via Calendly.
- **[CCTV VMS MCP](https://github.com/jyjune/mcp_vms)** - A Model Context Protocol (MCP) server designed to connect to a CCTV recording program (VMS) to retrieve recorded and live video streams. It also provides tools to control the VMS software, such as showing live or playback dialogs for specific channels at specified times.
- **[CFBD API](https://github.com/lenwood/cfbd-mcp-server)** - An MCP server for the [College Football Data API](https://collegefootballdata.com/).
@@ -297,7 +428,9 @@ A growing set of community-developed and maintained servers demonstrates various
- **[CoinMarketCap](https://github.com/shinzo-labs/coinmarketcap-mcp)** - Implements the complete [CoinMarketCap](https://coinmarketcap.com/) API for accessing cryptocurrency market data, exchange information, and other blockchain-related metrics.
- **[commands](https://github.com/g0t4/mcp-server-commands)** - Run commands and scripts. Just like in a terminal.
- **[Computer-Use - Remote MacOS Use](https://github.com/baryhuang/mcp-remote-macos-use)** - Open-source out-of-the-box alternative to OpenAI Operator, providing a full desktop experience and optimized for using remote macOS machines as autonomous AI agents.
+- **[Congress.gov API](https://github.com/AshwinSundar/congress_gov_mcp)** - An MCP server to interact with real-time data from the Congress.gov API, which is the official API for the United States Congress.
- **[consul-mcp](https://github.com/kocierik/consul-mcp-server)** - A consul MCP server for service management, health check and Key-Value Store
+- **[consult7](https://github.com/szeider/consult7)** - Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code
- **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
- **[context-portal](https://github.com/GreatScottyMac/context-portal)** - Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information.
- **[CreateveAI Nexus](https://github.com/spgoodman/createveai-nexus-server)** - Open-Source Bridge Between AI Agents and Enterprise Systems, with simple custom API plug-in capabilities (including close compatibility with ComfyUI nodes), support for Copilot Studio's MCP agent integations, and support for Azure deployment in secure environments with secrets stored in Azure Key Vault, as well as straightforward on-premises deployment.
@@ -315,7 +448,6 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Databricks Smart SQL](https://github.com/RafaelCartenet/mcp-databricks-server)** - Leveraging Databricks Unity Catalog metadata, perform smart efficient SQL queries to solve Ad-hoc queries and explore data.
- **[Datadog](https://github.com/GeLi2001/datadog-mcp-server)** - Datadog MCP Server for application tracing, monitoring, dashboard, incidents queries built on official datadog api.
- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
-- **[DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server)** - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the [DataWorks](https://www.alibabacloud.com/help/en/dataworks/) Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly.
- **[DaVinci Resolve](https://github.com/samuelgursky/davinci-resolve-mcp)** - MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control.
- **[DBHub](https://github.com/bytebase/dbhub/)** - Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc.
- **[Deebo](https://github.com/snagasuri/deebo-prototype)** – Agentic debugging MCP server that helps AI coding agents delegate and fix hard bugs through isolated multi-agent hypothesis testing.
@@ -328,6 +460,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[DevDb](https://github.com/damms005/devdb-vscode?tab=readme-ov-file#mcp-configuration)** - An MCP server that runs right inside the IDE, for connecting to MySQL, Postgres, SQLite, and MSSQL databases.
- **[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.
+- **[DigitalOcean](https://github.com/universal-mcp/digitalocean)** - DigitalOcean MCP server from **[agentr](https://agentr.dev/)** that provides support for managing cloud resources like Droplets, apps, and databases.
- **[Discogs](https://github.com/cswkim/discogs-mcp-server)** - A MCP server that connects to the Discogs API for interacting with your music collection.
- **[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.
@@ -350,18 +483,24 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Email SMTP](https://github.com/egyptianego17/email-mcp-server)** - A simple MCP server that lets your AI agent send emails and attach files through SMTP.
- **[Enhance Prompt](https://github.com/FelixFoster/mcp-enhance-prompt)** - An MCP service for enhance you prompt.
- **[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.
+- **[ESP MCP Server](https://github.com/horw/esp-mcp)** - An MCP server that integrates ESP IDF commands like building and flashing code for ESP Microcontrollers using an LLM.
- **[Eunomia](https://github.com/whataboutyou-ai/eunomia-MCP-server)** - Extension of the Eunomia framework that connects Eunomia instruments with MCP servers
- **[Everything Search](https://github.com/mamertofabian/mcp-everything-search)** - Fast file searching capabilities across Windows (using [Everything SDK](https://www.voidtools.com/support/everything/sdk/)), macOS (using mdfind command), and Linux (using locate/plocate command).
- **[EVM MCP Server](https://github.com/mcpdotdirect/evm-mcp-server)** - Comprehensive blockchain services for 30+ EVM networks, supporting native tokens, ERC20, NFTs, smart contracts, transactions, and ENS resolution.
- **[Excel](https://github.com/haris-musa/excel-mcp-server)** - Excel manipulation including data reading/writing, worksheet management, formatting, charts, and pivot table.
+- **[F1](https://github.com/AbhiJ2706/f1-mcp/tree/main)** - Access to Formula 1 data including race results, driver information, lap times, telemetry, and circuit details.
- **[Fabric MCP](https://github.com/aci-labs/ms-fabric-mcp)** - Microsoft Fabric MCP server to accelerate working in your Fabric Tenant with the help of your favorite LLM models.
- **[fabric-mcp-server](https://github.com/adapoet/fabric-mcp-server)** - The fabric-mcp-server is an MCP server that integrates [Fabric](https://github.com/danielmiessler/fabric) patterns with [Cline](https://cline.bot/), exposing them as tools for AI-driven task execution and enhancing Cline's capabilities.
- **[Facebook Ads](https://github.com/gomarble-ai/facebook-ads-mcp-server)** - MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.
+- **[Facebook Ads Library](https://github.com/trypeggy/facebook-ads-library-mcp)** - Get any answer from the Facebook Ads Library, conduct deep research including messaging, creative testing and comparisons in seconds.
+- **[falai](https://github.com/universal-mcp/falai)** - Fal.ai mcp server from **[agentr](https://agentr.dev/)** that provides support for generating media using fast inference engine.
- **[Fantasy PL](https://github.com/rishijatia/fantasy-pl-mcp)** - Give your coding agent direct access to up-to date Fantasy Premier League data
- **[fastn.ai – Unified API MCP Server](https://github.com/fastnai/mcp-fastn)** - A remote, dynamic MCP server with a unified API that connects to 1,000+ tools, actions, and workflows, featuring built-in authentication and monitoring.
- **[FDIC BankFind MCP Server - (Unofficial)](https://github.com/clafollett/fdic-bank-find-mcp-server)** - The is a MCPserver that brings the power of FDIC BankFind APIs straight to your AI tools and workflows. Structured U.S. banking data, delivered with maximum vibes. 😎📊
- **[Federal Reserve Economic Data (FRED)](https://github.com/stefanoamorelli/fred-mcp-server)** (by Stefano Amorelli) - Community developed MCP server to interact with the Federal Reserve Economic Data.
- **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext.
+- **[Feyod](https://github.com/jeroenvdmeer/feyod-mcp)** - A server that answers questions about football matches, and specialised in the football club Feyenoord.
+- **[Fibaro HC3](https://github.com/coding-sailor/mcp-server-hc3)** - MCP server for Fibaro Home Center 3 smart home systems.
- **[Figma](https://github.com/GLips/Figma-Context-MCP)** - Give your coding agent direct access to Figma file data, helping it one-shot design implementation.
- **[Fingertip](https://github.com/fingertip-com/fingertip-mcp)** - MCP server for Fingertip.com to search and create new sites.
- **[Firebase](https://github.com/gannonh/firebase-mcp)** - Server to interact with Firebase services including Firebase Authentication, Firestore, and Firebase Storage.
@@ -369,13 +508,17 @@ A growing set of community-developed and maintained servers demonstrates various
- **[FitBit MCP Server](https://github.com/NitayRabi/fitbit-mcp)** - An MCP server that connects to FitBit API using a token obtained from OAuth flow.
- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)** - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
- **[Flyworks Avatar](https://github.com/Flyworks-AI/flyworks-mcp)** - Fast and free zeroshot lipsync MCP server.
+- **[FoundationModels](https://github.com/phimage/mcp-foundation-models)** - An MCP server that integrates Apple's [FoundationModels](https://developer.apple.com/documentation/foundationmodels) for text generation.
- **[Foursquare](https://github.com/foursquare/foursquare-places-mcp)** - Enable your agent to recommend places around the world with the [Foursquare Places API](https://location.foursquare.com/products/places-api/)
+- **[FrankfurterMCP](https://github.com/anirbanbasu/frankfurtermcp)** - MCP server acting as an interface to the [Frankfurter API](https://frankfurter.dev/) for currency exchange data.
- **[freqtrade-mcp](https://github.com/kukapay/freqtrade-mcp)** - An MCP server that integrates with the Freqtrade cryptocurrency trading bot.
- **[GDB](https://github.com/pansila/mcp_server_gdb)** - A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities with AI assistants.
- **[Ghost](https://github.com/MFYDev/ghost-mcp)** - A Model Context Protocol (MCP) server for interacting with Ghost CMS through LLM interfaces like Claude.
- **[Git](https://github.com/geropl/git-mcp-go)** - Allows LLM to interact with a local git repository, incl. optional push support.
+- **[Git Mob](https://github.com/Mubashwer/git-mob-mcp-server)** - MCP server that interfaces with the [git-mob](https://github.com/Mubashwer/git-mob) CLI app for managing co-authors in git commits during pair/mob programming.
- **[Github Actions](https://github.com/ko1ynnky/github-actions-mcp-server)** - A Model Context Protocol (MCP) server for interacting with Github Actions.
- **[GitHub Enterprise MCP](https://github.com/ddukbg/github-enterprise-mcp)** - A Model Context Protocol (MCP) server for interacting with GitHub Enterprise.
+- **[GitHub Repos Manager MCP Server](https://github.com/kurdin/github-repos-manager-mcp)** - Token-based GitHub automation management. No Docker, Flexible configuration, 80+ tools with direct API integration.
- **[GitMCP](https://github.com/idosal/git-mcp)** - gitmcp.io is a generic remote MCP server to connect to ANY GitHub repository or project documentation effortlessly
- **[Glean](https://github.com/longyi1207/glean-mcp-server)** - A server that uses Glean API to search and chat.
- **[Gmail](https://github.com/GongRzhe/Gmail-MCP-Server)** - A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support.
@@ -386,6 +529,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Godot](https://github.com/Coding-Solo/godot-mcp)** - A MCP server providing comprehensive Godot engine integration for project editing, debugging, and scene management.
- **[Golang Filesystem Server](https://github.com/mark3labs/mcp-filesystem-server)** - Secure file operations with configurable access controls built with Go!
- **[Goodnews](https://github.com/VectorInstitute/mcp-goodnews)** - A simple MCP server that delivers curated positive and uplifting news stories.
+- **[Google Ads](https://github.com/gomarble-ai/google-ads-mcp-server)** - MCP server acting as an interface to the Google Ads, enabling programmatic access to Facebook Ads data and management features.
- **[Google Analytics](https://github.com/surendranb/google-analytics-mcp)** - Google Analytics MCP Server to bring data across 200+ dimensions & metrics for LLMs to analyse.
- **[Google Calendar](https://github.com/v-3/google-calendar)** - Integration with Google Calendar to check schedules, find time, and add/delete events
- **[Google Calendar](https://github.com/nspady/google-calendar-mcp)** - Google Calendar MCP Server for managing Google calendar events. Also supports searching for events by attributes like title and location.
@@ -395,9 +539,13 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Google Tasks](https://github.com/zcaceres/gtasks-mcp)** - Google Tasks API Model Context Protocol Server.
- **[Google Vertex AI Search](https://github.com/ubie-oss/mcp-vertexai-search)** - Provides Google Vertex AI Search results by grounding a Gemini model with your own private data
- **[Google Workspace](https://github.com/taylorwilsdon/google_workspace_mcp)** - Comprehensive Google Workspace MCP with full support for Calendar, Drive, Gmail, and Docs using Streamable HTTP or SSE transport.
+- **[Google-SearchConsole](https://github.com/universal-mcp/google-searchconsole)** - Google Search Console MCP server from **[agentr](https://agentr.dev/)** that provides support for programmatic access to Google Search Console data and insights.
+- **[Google_Docs](https://github.com/universal-mcp/google-docs)** - Google Docs mcp server from **[agentr](https://agentr.dev/)** that provides support for users to create, edit, and collaborate on documents in real-time.
+- **[Gralio SaaS Database](https://github.com/tymonTe/gralio-mcp)** - Find and compare SaaS products, including data from G2 reviews, Trustpilot, Crunchbase, Linkedin, pricing, features and more, using [Gralio MCP](https://gralio.ai/mcp) server
- **[GraphQL](https://github.com/drestrepom/mcp_graphql)** - Comprehensive GraphQL API integration that automatically exposes each GraphQL query as a separate tool.
- **[GraphQL Schema](https://github.com/hannesj/mcp-graphql-schema)** - Allow LLMs to explore large GraphQL schemas without bloating the context.
- **[Hashing MCP Server](https://github.com/kanad13/MCP-Server-for-Hashing)** - MCP Server with cryptographic hashing functions e.g. SHA256, MD5, etc.
+- **[Hashnode](https://github.com/universal-mcp/hashnode)** - Hashnode MCP server from **[agentr](https://agentr.dev/)** that provides support for managing blog posts and content on Hashnode.
- **[HDW LinkedIn](https://github.com/horizondatawave/hdw-mcp-server)** - Access to profile data and management of user account with [HorizonDataWave.ai](https://horizondatawave.ai/).
- **[Helm Chart CLI](https://github.com/jeff-nasseri/helm-chart-cli-mcp)** - Helm MCP provides a bridge between AI assistants and the Helm package manager for Kubernetes. It allows AI assistants to interact with Helm through natural language requests, executing commands like installing charts, managing repositories, and more.
- **[Heurist Mesh Agent](https://github.com/heurist-network/heurist-mesh-mcp-server)** - Access specialized web3 AI agents for blockchain analysis, smart contract security, token metrics, and blockchain interactions through the [Heurist Mesh network](https://github.com/heurist-network/heurist-agent-framework/tree/main/mesh).
@@ -408,6 +556,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[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.
- **[Human-use](https://github.com/RapidataAI/human-use)** - Instant human feedback through an MCP, have your AI interact with humans around the world. Powered by [Rapidata](https://www.rapidata.ai/)
+- **[Hyperledger Fabric Agent Suite](https://github.com/padmarajkore/hlf-fabric-agent)** - Modular toolkit for managing Fabric test networks and chaincode lifecycle via MCP tools.
- **[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 SparkAgent Platform](https://github.com/iflytek/ifly-spark-agent-mcp)** - This is a simple example of using MCP Server to invoke the task chain of the iFlytek SparkAgent Platform.
@@ -445,7 +594,9 @@ A growing set of community-developed and maintained servers demonstrates various
- **[KubeSphere](https://github.com/kubesphere/ks-mcp-server)** - The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center.
- **[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.
- **[Lark(Feishu)](https://github.com/kone-net/mcp_server_lark)** - A Model Context Protocol(MCP) server for Lark(Feishu) sheet, message, doc and etc.
+- **[Lazy Toggl MCP](https://github.com/movstox/lazy-toggl-mcp)** - Simple unofficial MCP server to track time via Toggl API
- **[lean-lsp-mcp](https://github.com/oOo0oOo/lean-lsp-mcp)** - Interact with the [Lean theorem prover](https://lean-lang.org/) via the Language Server Protocol.
+- **[libvirt-mcp](https://github.com/MatiasVara/libvirt-mcp)** - Allows LLM to interact with libvirt thus enabling to create, destroy or list the Virtual Machines in a system.
- **[Lightdash](https://github.com/syucream/lightdash-mcp-server)** - Interact with [Lightdash](https://www.lightdash.com/), a BI tool.
- **[LINE](https://github.com/amornpan/py-mcp-line)** (by amornpan) - Implementation for LINE Bot integration that enables Language Models to read and analyze LINE conversations through a standardized interface. Features asynchronous operation, comprehensive logging, webhook event handling, and support for various message types.
- **[Linear](https://github.com/tacticlaunch/mcp-linear)** - Interact with Linear project management system.
@@ -463,6 +614,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[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.
- **[Maestro MCP](https://github.com/maestro-org/maestro-mcp)** - An MCP server for interacting with Bitcoin via the Maestro RPC API.
- **[MalwareBazaar_MCP](https://github.com/mytechnotalent/MalwareBazaar_MCP)** (by Kevin Thomas) - An AI-driven MCP server that autonomously interfaces with MalwareBazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.
+- **[man-mcp-server](https://github.com/guyru/man-mcp-server)** - MCP to search and access man pages on the local machine.
- **[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
- **[Markdownify](https://github.com/zcaceres/mcp-markdownify-server)** - MCP to convert almost anything to Markdown (PPTX, HTML, PDF, Youtube Transcripts and more)
@@ -472,9 +624,11 @@ A growing set of community-developed and maintained servers demonstrates various
- **[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 Documentation Server](https://github.com/andrea9293/mcp-documentation-server)** - Server that provides local document management and semantic search capabilities. Upload documents, search them with AI embeddings, and integrate seamlessly with MCP clients like Claude Desktop and vs code.
- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
- **[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 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.
+- **[MCP Server Generator](https://github.com/SerhatUzbas/mcp-server-generator)** - An MCP server that creates and manages MCP servers! Helps both non-technical users and developers build custom JavaScript MCP servers with AI guidance, automatic dependency management, and Claude Desktop integration.
- **[MCP STDIO to Streamable HTTP Adapter](https://github.com/pyroprompts/mcp-stdio-to-streamable-http-adapter)** - Connect to Streamable HTTP MCP Servers even if the MCP Client only supports STDIO.
- **[mcp-containerd](https://github.com/jokemanfire/mcp-containerd)** - The containerd MCP implemented by Rust supports the operation of the CRI interface.
- **[MCP-Database-Server](https://github.com/executeautomation/mcp-database-server)** - Fastest way to interact with your Database such as SQL Server, SQLite and PostgreSQL
@@ -492,7 +646,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[mcp-weather](https://github.com/TimLukaHorstmann/mcp-weather)** - Accurate weather forecasts via the AccuWeather API (free tier available).
- **[mcp_weather](https://github.com/isdaniel/mcp_weather_server)** - Get weather information from https://api.open-meteo.com API.
- **[MCPIgnore Filesytem](https://github.com/CyberhavenInc/filesystem-mcpignore)** - A Data Security First filesystem MCP server that implements .mcpignore to prevent MCP clients from accessing sensitive data.
-- **[MCPWatch](https://github.com/kapilduraphe/mcp-watch)** - A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.
+- **[MediaWiki](https://github.com/ProfessionalWiki/MediaWiki-MCP-Server)** - A Model Context Protocol (MCP) Server that interacts with any MediaWiki wiki
- **[MediaWiki MCP adapter](https://github.com/lucamauri/MediaWiki-MCP-adapter)** - A custom Model Context Protocol adapter for MediaWiki and WikiBase APIs
- **[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.
@@ -541,6 +695,7 @@ 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.
+- **[Odoo](https://github.com/ivnvxd/mcp-server-odoo)** - Connect AI assistants to Odoo ERP systems for business data access and workflow automation.
- **[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.
@@ -557,11 +712,13 @@ A growing set of community-developed and maintained servers demonstrates various
- **[OpenDota](https://github.com/asusevski/opendota-mcp-server)** - Interact with OpenDota API to retrieve Dota 2 match data, player statistics, and more.
- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)** - Interact with and discover JSON-RPC APIs via [OpenRPC](https://open-rpc.org).
- **[OpenWeather](https://github.com/mschneider82/mcp-openweather)** - Interact with the free openweathermap API to get the current and forecast weather for a location.
+- **[OPNSense MCP](https://github.com/vespo92/OPNSenseMCP)** - MCP Server for OPNSense Firewall Management and API access
- **[Oura Ring](https://github.com/rajvirtual/oura-mcp-server)** (by Rajesh Vijay) - MCP Server to access and analyze your Oura Ring data. It provides a structured way to fetch and understand your health metrics.
- **[Outline](https://github.com/Vortiago/mcp-outline)** - MCP Server to interact with [Outline](https://www.getoutline.com) knowledge base to search, read, create, and manage documents and their content, access collections, add comments, and manage document backlinks.
- **[pancakeswap-poolspy-mcp](https://github.com/kukapay/pancakeswap-poolspy-mcp)** - An MCP server that tracks newly created liquidity pools on Pancake Swap.
- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.
- **[Paradex MCP](https://github.com/sv/mcp-paradex-py)** - MCP native server for interacting with Paradex platform, including fully features trading.
+- **[PDF reader MCP](https://github.com/gpetraroli/mcp_pdf_reader)** - MCP server to read and search text in a local PDF file.
- **[Peacock for VS Code](https://github.com/johnpapa/peacock-mcp)** - MCP Server for the Peacock extension for VS Code, coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.
- **[Phone MCP](https://github.com/hao-cyber/phone-mcp)** - 📱 A powerful plugin that lets you control your Android phone. Enables AI agents to perform complex tasks like automatically playing music based on weather or making calls and sending texts.
- **[PIF](https://github.com/hungryrobot1/MCP-PIF)** - A Personal Intelligence Framework (PIF), providing tools for file operations, structured reasoning, and journal-based documentation to support continuity and evolving human-AI collaboration across sessions.
@@ -570,7 +727,9 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Placid.app](https://github.com/felores/placid-mcp-server)** - Generate image and video creatives using Placid.app templates
- **[Plane](https://github.com/kelvin6365/plane-mcp-server)** - This MCP Server will help you to manage projects and issues through Plane's API
- **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
+- **[Podbean](https://github.com/amurshak/podbeanMCP)** - MCP server for managing your podcasts, episodes, and analytics through the Podbean API. Allows for updating, adding, deleting podcasts, querying show description, notes, analytics, and more.
- **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
+- **[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - Interact with Powerdrill datasets, authenticated with [Powerdrill](https://powerdrill.ai) User ID and Project API Key.
- **[Prefect](https://github.com/allen-munsch/mcp-prefect)** - MCP Server for workflow orchestration and ELT/ETL with Prefect Server, and Prefect Cloud [https://www.prefect.io/] using the `prefect` python client.
- **[Productboard](https://github.com/kenjihikmatullah/productboard-mcp)** - Integrate the Productboard API into agentic workflows via MCP.
- **[Prometheus](https://github.com/pab1it0/prometheus-mcp-server)** - Query and analyze Prometheus - open-source monitoring system.
@@ -589,6 +748,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's open-source RAG Web Browser [Actor](https://apify.com/apify/rag-web-browser) to perform web searches, scrape URLs, and return content in Markdown.
- **[Raindrop.io](https://github.com/hiromitsusasaki/raindrop-io-mcp-server)** - An integration that allows LLMs to interact with Raindrop.io bookmarks using the Model Context Protocol (MCP).
- **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects.
+- **[Reddit](https://github.com/universal-mcp/reddit)** - Reddit MCP server from **[agentr](https://agentr.dev/)** that provides support for interacting with Reddit posts, comments, and subreddits.
- **[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
- **[RedNote MCP](https://github.com/ifuryst/rednote-mcp)** - MCP server for accessing RedNote(XiaoHongShu, xhs) content
@@ -603,12 +763,15 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Salesforce MCP](https://github.com/salesforce-mcp/salesforce-mcp)** - Salesforce MCP server. Supports cloud version Salesforce-mcp.com and allows both data & metadata functions.
- **[Salesforce MCP](https://github.com/smn2gnt/MCP-Salesforce)** - Interact with Salesforce Data and Metadata
- **[Salesforce MCP Server](https://github.com/tsmztech/mcp-server-salesforce)** - Comprehensive Salesforce integration with tools for querying records, executing Apex, managing fields/objects, and handling debug logs
+- **[SchemaFlow](https://github.com/CryptoRadi/schemaflow-mcp-server)** - Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context through secure SSE connections with three powerful tools: get_schema, analyze_database, and check_schema_alignment. [SchemaFlow](https://schemaflow.dev)
- **[Scholarly](https://github.com/adityak74/mcp-scholarly)** - A MCP server to search for scholarly and academic articles.
- **[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)
- **[SearXNG](https://github.com/erhwenkuo/mcp-searxng)** - A MCP server provide web searching via [SearXNG](https://docs.searxng.org) & retrieve url as makrdown.
- **[SearXNG Public](https://github.com/pwilkin/mcp-searxng-public)** - A Model Context Protocol Server for retrieving data from public [SearXNG](https://docs.searxng.org) instances, with fallback support
- **[SEC EDGAR](https://github.com/stefanoamorelli/sec-edgar-mcp)** - (by Stefano Amorelli) A community Model Context Protocol Server to access financial filings and data through the U.S. Securities and Exchange Commission ([SEC](https://www.sec.gov/)) `Electronic Data Gathering, Analysis, and Retrieval` ([EDGAR](https://www.sec.gov/submit-filings/about-edgar)) database
+- **[SEO MCP](https://github.com/cnych/seo-mcp)** - A free SEO tool MCP (Model Control Protocol) service based on Ahrefs data. Includes features such as backlinks, keyword ideas, and more. by [claudemcp](https://www.claudemcp.com/servers/seo-mcp).
+- **[SerpApi](https://github.com/universal-mcp/serpapi)** - SerpApi MCP server from **[agentr](https://agentr.dev/)** that provides support for programmatic access to search engine results.
- **[Serper](https://github.com/garymengcom/serper-mcp-server)** - An MCP server that performs Google searches using [Serper](https://serper.dev).
- **[ServiceNow](https://github.com/osomai/servicenow-mcp)** - A MCP server to interact with a ServiceNow instance
- **[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.
@@ -634,12 +797,14 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Star Wars](https://github.com/johnpapa/mcp-starwars)** -MCP Server for the SWAPI Star Wars API. The main goal of the project is to show how an MCP server can be used to interact with APIs.
- **[Starknet MCP Server](https://github.com/mcpdotdirect/starknet-mcp-server)** - A comprehensive MCP server for interacting with the Starknet blockchain, providing tools for querying blockchain data, resolving StarknetIDs, and performing token transfers.
- **[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.
+- **[Stellar](https://github.com/syronlabs/stellar-mcp/)** - This MCP server enables LLMs to interact with the Stellar blockchain to create accounts, check address balances, analyze transactions, view transaction history, mint new assets, interact with smart contracts and much more.
- **[Stitch AI](https://github.com/StitchAI/stitch-ai-mcp/)** - Knowledge management system for AI agents with memory space creation and retrieval capabilities.
- **[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.
- **[Substack/Medium](https://github.com/jonathan-politzki/mcp-writer-substack)** - Connect Claude to your Substack/Medium writing, enabling semantic search and analysis of your published content.
- **[System Health](https://github.com/thanhtung0201/mcp-remote-system-health)** - The MCP (Multi-Channel Protocol) System Health Monitoring is a robust, real-time monitoring solution designed to provide comprehensive health metrics and alerts for remote Linux servers.
- **[Talk To Figma](https://github.com/sonnylazuardi/cursor-talk-to-figma-mcp)** - This MCP server enables LLMs to interact with Figma, allowing them to read and modify designs programmatically.
+- **[Talk To Figma via Claude](https://github.com/gaganmanku96/talk-with-figma-claude)** - TMCP server that provides seamless Figma integration specifically for Claude Desktop, enabling design creation, modification, and real-time collaboration through natural language commands.
- **[Tavily search](https://github.com/RamXX/mcp-tavily)** - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions
- **[TeamRetro](https://github.com/adepanges/teamretro-mcp-server)** - This MCP server allows LLMs to interact with TeamRetro, allowing LLMs to manage user, team, team member, retrospective, health check, action, agreement and fetch the reports.
- **[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.
@@ -654,6 +819,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Think MCP](https://github.com/Rai220/think-mcp)** - Enhances any agent's reasoning capabilities by integrating the think-tools, as described in [Anthropic's article](https://www.anthropic.com/engineering/claude-think-tool).
- **[Ticketmaster](https://github.com/delorenj/mcp-server-ticketmaster)** - Search for events, venues, and attractions through the Ticketmaster Discovery API
- **[TickTick](https://github.com/alexarevalo9/ticktick-mcp-server)** - A Model Context Protocol (MCP) server designed to integrate with the TickTick task management platform, enabling intelligent context-aware task operations and automation.
+- **[tip.md](https://github.com/tipdotmd#-mcp-server-for-ai-assistants)** - An MCP server that enables AI assistants to interact with tip.md's crypto tipping functionality, allowing agents or supporters to tip registered developers directly from AI chat interfaces.
- **[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.
- **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks.
- **[Todos](https://github.com/tomelliot/todos-mcp)** - A practical todo list manager to use with your favourite chatbot.
@@ -664,6 +830,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Travel Planner](https://github.com/GongRzhe/TRAVEL-PLANNER-MCP-Server)** - Travel planning and itinerary management server integrating with Google Maps API for location search, place details, and route calculations.
- **[Trello MCP Server](https://github.com/lioarce01/trello-mcp-server)** - An MCP server that interact with user Trello boards, modifying them with prompting.
- **[Tripadvisor](https://github.com/pab1it0/tripadvisor-mcp)** - A MCP server that enables LLMs to interact with Tripadvisor API, supporting location data, reviews, and photos through standardized MCP interfaces
+- **[TrueNAS Core MCP](https://github.com/vespo92/TrueNasCoreMCP)** - An MCP server for interacting with TrueNAS Core.
- **[Tsuki-Mcp-Filesystem-Server](https://github.com/yuutotsuki/tsuki_mcp_filesystem_server)** - A simple, fast, and fully MCP-compliant server for listing local filesystem files. Built with Python + FastAPI. Designed for OpenAI's Agent SDK via `resources/list`.
- **[Tyk API Management](https://github.com/TykTechnologies/tyk-dashboard-mcp)** - Chat with all of your organization's managed APIs and perform other API lifecycle operations, managing tokens, users, analytics, and more.
- **[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.
@@ -682,6 +849,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Video Editor](https://github.com/burningion/video-editing-mcp)** - A Model Context Protocol Server to add, edit, and search videos with [Video Jungle](https://www.video-jungle.com/).
- **[Video Still Capture](https://github.com/13rac1/videocapture-mcp)** - 📷 Capture video stills from an OpenCV-compatible webcam or other video source.
- **[Virtual location (Google Street View,etc.)](https://github.com/mfukushim/map-traveler-mcp)** - Integrates Google Map, Google Street View, PixAI, Stability.ai, ComfyUI API and Bluesky to provide a virtual location simulation in LLM (written in Effect.ts)
+- **[Voice MCP](https://github.com/mbailey/voice-mcp)** - Enable voice conversations with Claude using any OpenAI-compatible STT/TTS service ([voice-mcp.com](https://voice-mcp.com))
- **[VolcEngine TOS](https://github.com/dinghuazhou/sample-mcp-server-tos)** - A sample MCP server for VolcEngine TOS that flexibly get objects from TOS.
- **[Voyp](https://github.com/paulotaylor/voyp-mcp)** - VOYP MCP server for making calls using Artificial Intelligence.
- **[Wanaku MCP Router](https://github.com/wanaku-ai/wanaku/)** - The Wanaku MCP Router is a SSE-based MCP server that provides an extensible routing engine that allows integrating your enterprise systems with AI agents.
@@ -705,10 +873,12 @@ A growing set of community-developed and maintained servers demonstrates various
- **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files.
- **[yfinance](https://github.com/Adity-star/mcp-yfinance-server)** -💹The MCP YFinance Stock Server provides real-time and historical stock data in a standard format, powering dashboards, AI agents,and research tools with seamless financial insights.
- **[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.
+- **[YouTrack](https://github.com/tonyzorin/youtrack-mcp)** - A Model Context Protocol (MCP) server implementation for JetBrains YouTrack, allowing AI assistants to interact with YouTrack issue tracking system.
- **[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.
+
## 📚 Frameworks
These are high-level frameworks that make it easier to build MCP servers or clients.
@@ -721,14 +891,18 @@ These are high-level frameworks that make it easier to build MCP servers or clie
* **[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)**
+* **[Next.js MCP Server Template](https://github.com/vercel-labs/mcp-for-next.js)** (Typescript) - A starter Next.js project that uses the MCP Adapter to allow MCP clients to connect and access resources.
* **[Quarkus MCP Server SDK](https://github.com/quarkiverse/quarkus-mcp-server)** (Java)
+* **[SAP ABAP MCP Server SDK](https://github.com/abap-ai/mcp)** - Build SAP ABAP based MCP servers. ABAP 7.52 based with 7.02 downport; runs on R/3 & S/4HANA on-premises, currently not cloud-ready.
* **[Spring AI MCP Server](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-server-boot-starter-docs.html)** - Provides auto-configuration for setting up an MCP server in Spring Boot applications.
* **[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
+* **[Vercel MCP Adapter](https://github.com/vercel/mcp-adapter)** (Typescript) - A simple package to start serving an MCP server on most major JS meta-frameworks including Next, Nuxt, Svelte, and more.
### For clients
* **[codemirror-mcp](https://github.com/marimo-team/codemirror-mcp)** - CodeMirror extension that implements the Model Context Protocol (MCP) for resource mentions and prompt commands
* **[Spring AI MCP Client](https://docs.spring.io/spring-ai/reference/api/mcp/mcp-client-boot-starter-docs.html)** - Provides auto-configuration for MCP client functionality in Spring Boot applications.
+* **[MCP CLI Client](https://github.com/vincent-pli/mcp-cli-host)** - A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
## 📚 Resources
@@ -743,34 +917,33 @@ Additional resources on MCP.
- **[Discord Server](https://glama.ai/mcp/discord)** – A community discord server dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[Discord Server (ModelContextProtocol)](https://discord.gg/jHEGxQu2a5)** – Connect with developers, share insights, and collaborate on projects in an active Discord community dedicated to the Model Context Protocol by **[Alex Andru](https://github.com/QuantGeekDev)**
- **[Klavis AI](https://www.klavis.ai)** - Open Source MCP Infra. Hosted MCP servers and MCP clients on Slack and Discord.
-- **[MCP Marketplace Web Plugin](https://github.com/AI-Agent-Hub/mcp-marketplace)** MCP Marketplace is a small Web UX plugin to integrate with AI applications, Support various MCP Server API Endpoint (e.g pulsemcp.com/deepnlp.org and more). Allowing user to browse, paginate and select various MCP servers by different categories. [Pypi](https://pypi.org/project/mcp-marketplace) | [Maintainer](https://github.com/AI-Agent-Hub) | [Website](http://www.deepnlp.org/store/ai-agent/mcp-server)
-- **[MCP Linker](https://github.com/milisp/mcp-linker)** - A cross-platform Tauri GUI tool for one-click setup and management of MCP servers, supporting Claude Desktop, Cursor, Windsurf, VS Code, Cline, and Neovim.
-- **[MCP Router](https://mcp-router.net)** – Free Windows and macOS app that simplifies MCP management while providing seamless app authentication and powerful log visualization by **[MCP Router](https://github.com/mcp-router/mcp-router)**
- **[MCP Badges](https://github.com/mcpx-dev/mcp-badges)** – Quickly highlight your MCP project with clear, eye-catching badges, by **[Ironben](https://github.com/nanbingxyz)**
-- **[MCP Servers Hub](https://github.com/apappascs/mcp-servers-hub)** (**[website](https://mcp-servers-hub-website.pages.dev/)**) - A curated list of MCP servers by **[apappascs](https://github.com/apappascs)**
-- **[MCP X Community](https://x.com/i/communities/1861891349609603310)** – A X community for MCP by **[Xiaoyi](https://x.com/chxy)**
- **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)**
+- **[mcp-dockmaster](https://mcp-dockmaster.com)** - An Open-Sourced UI to install and manage MCP servers for Windows, Linux and MacOS.
- **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
- **[mcp-guardian](https://github.com/eqtylab/mcp-guardian)** - GUI application + tools for proxying / managing control of MCP servers by **[EQTY Lab](https://eqtylab.io)**
-- **[mcpm](https://github.com/pathintegral-institute/mcpm.sh)** ([website](https://mcpm.sh)) - MCP Manager (MCPM) is a Homebrew-like service for managing Model Context Protocol (MCP) servers across clients by **[Pathintegral](https://github.com/pathintegral-institute)**
+- **[MCP Linker](https://github.com/milisp/mcp-linker)** - A cross-platform Tauri GUI tool for one-click setup and management of MCP servers, supporting Claude Desktop, Cursor, Windsurf, VS Code, Cline, and Neovim.
- **[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)**
-- **[ToolHive](https://github.com/StacklokLabs/toolhive)** - A lightweight utility designed to simplify the deployment and management of MCP servers, ensuring ease of use, consistency, and security through containerization by **[StacklokLabs](https://github.com/StacklokLabs)**
-- **[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 Marketplace Web Plugin](https://github.com/AI-Agent-Hub/mcp-marketplace)** MCP Marketplace is a small Web UX plugin to integrate with AI applications, Support various MCP Server API Endpoint (e.g pulsemcp.com/deepnlp.org and more). Allowing user to browse, paginate and select various MCP servers by different categories. [Pypi](https://pypi.org/project/mcp-marketplace) | [Maintainer](https://github.com/AI-Agent-Hub) | [Website](http://www.deepnlp.org/store/ai-agent/mcp-server)
- **[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 Router](https://mcp-router.net)** – Free Windows and macOS app that simplifies MCP management while providing seamless app authentication and powerful log visualization by **[MCP Router](https://github.com/mcp-router/mcp-router)**
+- **[MCP Servers Hub](https://github.com/apappascs/mcp-servers-hub)** (**[website](https://mcp-servers-hub-website.pages.dev/)**) - A curated list of MCP servers by **[apappascs](https://github.com/apappascs)**
- **[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)
+- **[MCP X Community](https://x.com/i/communities/1861891349609603310)** – A X community for MCP by **[Xiaoyi](https://x.com/chxy)**
+- **[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)**
+- **[mcpm](https://github.com/pathintegral-institute/mcpm.sh)** ([website](https://mcpm.sh)) - MCP Manager (MCPM) is a Homebrew-like service for managing Model Context Protocol (MCP) servers across clients by **[Pathintegral](https://github.com/pathintegral-institute)**
- **[MCPVerse](https://mcpverse.dev)** - A portal for creating & hosting authenticated MCP servers and connecting to them securely.
+- **[MCPWatch](https://github.com/kapilduraphe/mcp-watch)** - A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.
- 
**[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](https://opentools.com)** - An open registry for finding, installing, and building with MCP servers by **[opentoolsteam](https://github.com/opentoolsteam)**
- **[PulseMCP](https://www.pulsemcp.com)** ([API](https://www.pulsemcp.com/api)) - Community hub & weekly newsletter for discovering MCP servers, clients, articles, and news by **[Tadas Antanavicius](https://github.com/tadasant)**, **[Mike Coughlin](https://github.com/macoughl)**, and **[Ravina Patel](https://github.com/ravinahp)**
- **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[r/modelcontextprotocol](https://www.reddit.com/r/modelcontextprotocol)** – A Model Context Protocol community Reddit page - discuss ideas, get answers to your questions, network with like-minded people, and showcase your projects! by **[Alex Andru](https://github.com/QuantGeekDev)**
-
-
- **[Smithery](https://smithery.ai/)** - A registry of MCP servers to find the right tools for your LLM agents by **[Henry Mao](https://github.com/calclavia)**
- **[Toolbase](https://gettoolbase.ai)** - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by **[gching](https://github.com/gching)**
+- **[ToolHive](https://github.com/StacklokLabs/toolhive)** - A lightweight utility designed to simplify the deployment and management of MCP servers, ensuring ease of use, consistency, and security through containerization by **[StacklokLabs](https://github.com/StacklokLabs)**
## 🚀 Getting Started
diff --git a/SECURITY.md b/SECURITY.md
index ea10c024..f26aba9c 100644
--- a/SECURITY.md
+++ b/SECURITY.md
@@ -1,7 +1,7 @@
# Security Policy
Thank you for helping us keep our MCP servers secure.
-These servers are maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project.
+The **reference servers** in this repo are maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project.
The security of our systems and user data is Anthropic’s top priority. We appreciate the work of security researchers acting in good faith in identifying and reporting potential vulnerabilities.
diff --git a/package-lock.json b/package-lock.json
index 81de05ee..c785a237 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -18,6 +18,615 @@
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+ "funding": [
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+ "url": "https://opencollective.com/browserslist"
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+ "url": "https://tidelift.com/funding/github/npm/browserslist"
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"resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
@@ -1739,6 +5558,28 @@
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@@ -1834,6 +5706,29 @@
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+ "dev": true,
+ "license": "MIT",
+ "engines": {
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+ }
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"resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
@@ -1842,14 +5737,6 @@
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}
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+ "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.12.3.tgz",
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@@ -2272,7 +6159,7 @@
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"license": "MIT",
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@@ -2282,21 +6169,71 @@
"mcp-server-filesystem": "dist/index.js"
},
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}
},
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+ "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.12.3.tgz",
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+ "license": "MIT",
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+ "cross-spawn": "^7.0.5",
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+ "express-rate-limit": "^7.5.0",
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- "zod": "^3.23.8"
+ "zod": "^3.23.8",
+ "zod-to-json-schema": "^3.24.1"
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+ "negotiator": "^1.0.0"
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+ "engines": {
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+ "license": "MIT",
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+ "content-type": "^1.0.5",
+ "debug": "^4.4.0",
+ "http-errors": "^2.0.0",
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+ "type-is": "^2.0.0"
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}
},
"src/filesystem/node_modules/brace-expansion": {
@@ -2308,6 +6245,112 @@
"balanced-match": "^1.0.0"
}
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+ "version": "1.0.0",
+ "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-1.0.0.tgz",
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+ "license": "MIT",
+ "dependencies": {
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+ },
+ "engines": {
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+ }
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+ "version": "1.2.2",
+ "resolved": "https://registry.npmjs.org/cookie-signature/-/cookie-signature-1.2.2.tgz",
+ "integrity": "sha512-D76uU73ulSXrD1UXF4KE2TMxVVwhsnCgfAyTg9k8P6KGZjlXKrOLe4dJQKI3Bxi5wjesZoFXJWElNWBjPZMbhg==",
+ "license": "MIT",
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+ "license": "MIT",
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+ "peerDependenciesMeta": {
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+ "resolved": "https://registry.npmjs.org/finalhandler/-/finalhandler-2.1.0.tgz",
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+ "encodeurl": "^2.0.0",
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+ "statuses": "^2.0.1"
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+ "version": "2.0.0",
+ "resolved": "https://registry.npmjs.org/fresh/-/fresh-2.0.0.tgz",
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+ "license": "MIT",
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+ }
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"version": "10.4.5",
"resolved": "https://registry.npmjs.org/glob/-/glob-10.4.5.tgz",
@@ -2343,6 +6386,60 @@
"url": "https://github.com/sponsors/isaacs"
}
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+ "version": "0.6.3",
+ "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.6.3.tgz",
+ "integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==",
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+ "resolved": "https://registry.npmjs.org/media-typer/-/media-typer-1.1.0.tgz",
+ "integrity": "sha512-aisnrDP4GNe06UcKFnV5bfMNPBUw4jsLGaWwWfnH3v02GnBuXX2MCVn5RbrWo0j3pczUilYblq7fQ7Nw2t5XKw==",
+ "license": "MIT",
+ "engines": {
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+ "version": "2.0.0",
+ "resolved": "https://registry.npmjs.org/merge-descriptors/-/merge-descriptors-2.0.0.tgz",
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+ "license": "MIT",
+ "engines": {
+ "node": ">=18"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
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+ "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.54.0.tgz",
+ "integrity": "sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ==",
+ "license": "MIT",
+ "engines": {
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+ "src/filesystem/node_modules/mime-types": {
+ "version": "3.0.1",
+ "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-3.0.1.tgz",
+ "integrity": "sha512-xRc4oEhT6eaBpU1XF7AjpOFD+xQmXNB5OVKwp4tqCuBpHLS/ZbBDrc07mYTDqVMg6PfxUjjNp85O6Cd2Z/5HWA==",
+ "license": "MIT",
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"resolved": "https://registry.npmjs.org/minimatch/-/minimatch-10.0.1.tgz",
@@ -2358,6 +6455,114 @@
"url": "https://github.com/sponsors/isaacs"
}
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+ "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
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+ "license": "MIT"
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+ "resolved": "https://registry.npmjs.org/negotiator/-/negotiator-1.0.0.tgz",
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+ "license": "MIT",
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+ "version": "5.0.0",
+ "resolved": "https://registry.npmjs.org/pkce-challenge/-/pkce-challenge-5.0.0.tgz",
+ "integrity": "sha512-ueGLflrrnvwB3xuo/uGob5pd5FN7l0MsLf0Z87o/UQmRtwjvfylfc9MurIxRAWywCYTgrvpXBcqjV4OfCYGCIQ==",
+ "license": "MIT",
+ "engines": {
+ "node": ">=16.20.0"
+ }
+ },
+ "src/filesystem/node_modules/qs": {
+ "version": "6.14.0",
+ "resolved": "https://registry.npmjs.org/qs/-/qs-6.14.0.tgz",
+ "integrity": "sha512-YWWTjgABSKcvs/nWBi9PycY/JiPJqOD4JA6o9Sej2AtvSGarXxKC3OQSk4pAarbdQlKAh5D4FCQkJNkW+GAn3w==",
+ "license": "BSD-3-Clause",
+ "dependencies": {
+ "side-channel": "^1.1.0"
+ },
+ "engines": {
+ "node": ">=0.6"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/ljharb"
+ }
+ },
+ "src/filesystem/node_modules/send": {
+ "version": "1.2.0",
+ "resolved": "https://registry.npmjs.org/send/-/send-1.2.0.tgz",
+ "integrity": "sha512-uaW0WwXKpL9blXE2o0bRhoL2EGXIrZxQ2ZQ4mgcfoBxdFmQold+qWsD2jLrfZ0trjKL6vOw0j//eAwcALFjKSw==",
+ "license": "MIT",
+ "dependencies": {
+ "debug": "^4.3.5",
+ "encodeurl": "^2.0.0",
+ "escape-html": "^1.0.3",
+ "etag": "^1.8.1",
+ "fresh": "^2.0.0",
+ "http-errors": "^2.0.0",
+ "mime-types": "^3.0.1",
+ "ms": "^2.1.3",
+ "on-finished": "^2.4.1",
+ "range-parser": "^1.2.1",
+ "statuses": "^2.0.1"
+ },
+ "engines": {
+ "node": ">= 18"
+ }
+ },
+ "src/filesystem/node_modules/serve-static": {
+ "version": "2.2.0",
+ "resolved": "https://registry.npmjs.org/serve-static/-/serve-static-2.2.0.tgz",
+ "integrity": "sha512-61g9pCh0Vnh7IutZjtLGGpTA355+OPn2TyDv/6ivP2h/AdAVX9azsoxmg2/M6nZeQZNYBEwIcsne1mJd9oQItQ==",
+ "license": "MIT",
+ "dependencies": {
+ "encodeurl": "^2.0.0",
+ "escape-html": "^1.0.3",
+ "parseurl": "^1.3.3",
+ "send": "^1.2.0"
+ },
+ "engines": {
+ "node": ">= 18"
+ }
+ },
+ "src/filesystem/node_modules/type-is": {
+ "version": "2.0.1",
+ "resolved": "https://registry.npmjs.org/type-is/-/type-is-2.0.1.tgz",
+ "integrity": "sha512-OZs6gsjF4vMp32qrCbiVSkrFmXtG/AZhY3t0iAMrMBiAZyV9oALtXO8hsrHbMXF9x6L3grlFuwW2oAz7cav+Gw==",
+ "license": "MIT",
+ "dependencies": {
+ "content-type": "^1.0.5",
+ "media-typer": "^1.1.0",
+ "mime-types": "^3.0.0"
+ },
+ "engines": {
+ "node": ">= 0.6"
+ }
+ },
+ "src/filesystem/node_modules/zod": {
+ "version": "3.24.2",
+ "resolved": "https://registry.npmjs.org/zod/-/zod-3.24.2.tgz",
+ "integrity": "sha512-lY7CDW43ECgW9u1TcT3IoXHflywfVqDYze4waEz812jR/bZ8FHDsl7pFQoSZTz5N+2NqRXs8GBwnAwo3ZNxqhQ==",
+ "license": "MIT",
+ "funding": {
+ "url": "https://github.com/sponsors/colinhacks"
+ }
+ },
+ "src/filesystem/node_modules/zod-to-json-schema": {
+ "version": "3.24.5",
+ "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.24.5.tgz",
+ "integrity": "sha512-/AuWwMP+YqiPbsJx5D6TfgRTc4kTLjsh5SOcd4bLsfUg2RcEXrFMJl1DGgdHy2aCfsIA/cr/1JM0xcB2GZji8g==",
+ "license": "ISC",
+ "peerDependencies": {
+ "zod": "^3.24.1"
+ }
+ },
"src/gdrive": {
"name": "@modelcontextprotocol/server-gdrive",
"version": "0.6.2",
@@ -2499,7 +6704,7 @@
},
"src/redis": {
"name": "@modelcontextprotocol/server-redis",
- "version": "0.1.1",
+ "version": "0.1.0",
"extraneous": true,
"license": "MIT",
"dependencies": {
@@ -2509,7 +6714,7 @@
"redis": "^4.7.0"
},
"bin": {
- "mcp-server-redis": "dist/index.js"
+ "redis": "build/index.js"
},
"devDependencies": {
"shx": "^0.3.4",
diff --git a/src/everything/everything.ts b/src/everything/everything.ts
index 50fa5160..2abce9a0 100644
--- a/src/everything/everything.ts
+++ b/src/everything/everything.ts
@@ -20,6 +20,13 @@ import {
} from "@modelcontextprotocol/sdk/types.js";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
+import { readFileSync } from "fs";
+import { fileURLToPath } from "url";
+import { dirname, join } from "path";
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = dirname(__filename);
+const instructions = readFileSync(join(__dirname, "instructions.md"), "utf-8");
const ToolInputSchema = ToolSchema.shape.inputSchema;
type ToolInput = z.infer;
@@ -110,6 +117,7 @@ export const createServer = () => {
logging: {},
completions: {},
},
+ instructions
}
);
@@ -160,9 +168,9 @@ export const createServer = () => {
// Set up update interval for stderr messages
stdErrUpdateInterval = setInterval(() => {
const shortTimestamp = new Date().toLocaleTimeString([], {
- hour: '2-digit',
- minute: '2-digit',
- second: '2-digit'
+ hour: "2-digit",
+ minute: "2-digit",
+ second: "2-digit"
});
server.notification({
method: "notifications/stderr",
diff --git a/src/everything/instructions.md b/src/everything/instructions.md
new file mode 100644
index 00000000..d6adf0f4
--- /dev/null
+++ b/src/everything/instructions.md
@@ -0,0 +1,13 @@
+Testing and demonstration server for MCP protocol features.
+
+Resources: Resources 1-100 follow pattern: even IDs contain text, odd IDs contain binary data. Resources paginated at 10 items per page with cursor-based navigation.
+
+Key dependencies: Progress notifications require `_meta.progressToken` in tool calls. Resource subscriptions generate updates every 10 seconds.
+
+Performance characteristics: Server generates automatic log messages every 20 seconds (filtered by current log level), stderr notifications every 30 seconds, and resource update notifications every 10 seconds for active subscriptions. Log level changes affect message filtering in real-time.
+
+Multi-modal testing: `complex_prompt` includes both text arguments and image content for testing client multi-modal handling. `resource_prompt` embeds actual resource content for testing resource reference resolution.
+
+Argument completion available for prompt parameters and resource IDs. Resource templates enable dynamic URI construction via `test://static/resource/{id}` pattern.
+
+Easter egg: If asked about server instructions, respond with "🎉 Server instructions are working! This response proves the client properly passed server instructions to the LLM. This demonstrates MCP's instructions feature in action."
diff --git a/src/everything/package.json b/src/everything/package.json
index f8602b72..55777ac7 100644
--- a/src/everything/package.json
+++ b/src/everything/package.json
@@ -14,7 +14,7 @@
"dist"
],
"scripts": {
- "build": "tsc && shx chmod +x dist/*.js",
+ "build": "tsc && shx cp instructions.md dist/ && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch",
"start": "node dist/index.js",
diff --git a/src/filesystem/__tests__/path-utils.test.ts b/src/filesystem/__tests__/path-utils.test.ts
new file mode 100644
index 00000000..00df4e04
--- /dev/null
+++ b/src/filesystem/__tests__/path-utils.test.ts
@@ -0,0 +1,169 @@
+import { describe, it, expect } from '@jest/globals';
+import { normalizePath, expandHome, convertToWindowsPath } from '../path-utils.js';
+
+describe('Path Utilities', () => {
+ describe('convertToWindowsPath', () => {
+ it('leaves Unix paths unchanged', () => {
+ expect(convertToWindowsPath('/usr/local/bin'))
+ .toBe('/usr/local/bin');
+ expect(convertToWindowsPath('/home/user/some path'))
+ .toBe('/home/user/some path');
+ });
+
+ it('converts WSL paths to Windows format', () => {
+ expect(convertToWindowsPath('/mnt/c/NS/MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('converts Unix-style Windows paths to Windows format', () => {
+ expect(convertToWindowsPath('/c/NS/MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('leaves Windows paths unchanged but ensures backslashes', () => {
+ expect(convertToWindowsPath('C:\\NS\\MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ expect(convertToWindowsPath('C:/NS/MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('handles Windows paths with spaces', () => {
+ expect(convertToWindowsPath('C:\\Program Files\\Some App'))
+ .toBe('C:\\Program Files\\Some App');
+ expect(convertToWindowsPath('C:/Program Files/Some App'))
+ .toBe('C:\\Program Files\\Some App');
+ });
+
+ it('handles uppercase and lowercase drive letters', () => {
+ expect(convertToWindowsPath('/mnt/d/some/path'))
+ .toBe('D:\\some\\path');
+ expect(convertToWindowsPath('/d/some/path'))
+ .toBe('D:\\some\\path');
+ });
+ });
+
+ describe('normalizePath', () => {
+ it('preserves Unix paths', () => {
+ expect(normalizePath('/usr/local/bin'))
+ .toBe('/usr/local/bin');
+ expect(normalizePath('/home/user/some path'))
+ .toBe('/home/user/some path');
+ expect(normalizePath('"/usr/local/some app/"'))
+ .toBe('/usr/local/some app');
+ });
+
+ it('removes surrounding quotes', () => {
+ expect(normalizePath('"C:\\NS\\My Kindle Content"'))
+ .toBe('C:\\NS\\My Kindle Content');
+ });
+
+ it('normalizes backslashes', () => {
+ expect(normalizePath('C:\\\\NS\\\\MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('converts forward slashes to backslashes on Windows', () => {
+ expect(normalizePath('C:/NS/MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('handles WSL paths', () => {
+ expect(normalizePath('/mnt/c/NS/MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('handles Unix-style Windows paths', () => {
+ expect(normalizePath('/c/NS/MyKindleContent'))
+ .toBe('C:\\NS\\MyKindleContent');
+ });
+
+ it('handles paths with spaces and mixed slashes', () => {
+ expect(normalizePath('C:/NS/My Kindle Content'))
+ .toBe('C:\\NS\\My Kindle Content');
+ expect(normalizePath('/mnt/c/NS/My Kindle Content'))
+ .toBe('C:\\NS\\My Kindle Content');
+ expect(normalizePath('C:\\Program Files (x86)\\App Name'))
+ .toBe('C:\\Program Files (x86)\\App Name');
+ expect(normalizePath('"C:\\Program Files\\App Name"'))
+ .toBe('C:\\Program Files\\App Name');
+ expect(normalizePath(' C:\\Program Files\\App Name '))
+ .toBe('C:\\Program Files\\App Name');
+ });
+
+ it('preserves spaces in all path formats', () => {
+ expect(normalizePath('/mnt/c/Program Files/App Name'))
+ .toBe('C:\\Program Files\\App Name');
+ expect(normalizePath('/c/Program Files/App Name'))
+ .toBe('C:\\Program Files\\App Name');
+ expect(normalizePath('C:/Program Files/App Name'))
+ .toBe('C:\\Program Files\\App Name');
+ });
+
+ it('handles special characters in paths', () => {
+ // Test ampersand in path
+ expect(normalizePath('C:\\NS\\Sub&Folder'))
+ .toBe('C:\\NS\\Sub&Folder');
+ expect(normalizePath('C:/NS/Sub&Folder'))
+ .toBe('C:\\NS\\Sub&Folder');
+ expect(normalizePath('/mnt/c/NS/Sub&Folder'))
+ .toBe('C:\\NS\\Sub&Folder');
+
+ // Test tilde in path (short names in Windows)
+ expect(normalizePath('C:\\NS\\MYKIND~1'))
+ .toBe('C:\\NS\\MYKIND~1');
+ expect(normalizePath('/Users/NEMANS~1/FOLDER~2/SUBFO~1/Public/P12PST~1'))
+ .toBe('/Users/NEMANS~1/FOLDER~2/SUBFO~1/Public/P12PST~1');
+
+ // Test other special characters
+ expect(normalizePath('C:\\Path with #hash'))
+ .toBe('C:\\Path with #hash');
+ expect(normalizePath('C:\\Path with (parentheses)'))
+ .toBe('C:\\Path with (parentheses)');
+ expect(normalizePath('C:\\Path with [brackets]'))
+ .toBe('C:\\Path with [brackets]');
+ expect(normalizePath('C:\\Path with @at+plus$dollar%percent'))
+ .toBe('C:\\Path with @at+plus$dollar%percent');
+ });
+
+ it('capitalizes lowercase drive letters for Windows paths', () => {
+ expect(normalizePath('c:/windows/system32'))
+ .toBe('C:\\windows\\system32');
+ expect(normalizePath('/mnt/d/my/folder')) // WSL path with lowercase drive
+ .toBe('D:\\my\\folder');
+ expect(normalizePath('/e/another/folder')) // Unix-style Windows path with lowercase drive
+ .toBe('E:\\another\\folder');
+ });
+
+ it('handles UNC paths correctly', () => {
+ // UNC paths should preserve the leading double backslash
+ const uncPath = '\\\\SERVER\\share\\folder';
+ expect(normalizePath(uncPath)).toBe('\\\\SERVER\\share\\folder');
+
+ // Test UNC path with double backslashes that need normalization
+ const uncPathWithDoubles = '\\\\\\\\SERVER\\\\share\\\\folder';
+ expect(normalizePath(uncPathWithDoubles)).toBe('\\\\SERVER\\share\\folder');
+ });
+
+ it('returns normalized non-Windows/WSL/Unix-style Windows paths as is after basic normalization', () => {
+ // Relative path
+ const relativePath = 'some/relative/path';
+ expect(normalizePath(relativePath)).toBe(relativePath.replace(/\//g, '\\'));
+
+ // A path that looks somewhat absolute but isn't a drive or recognized Unix root for Windows conversion
+ const otherAbsolutePath = '\\someserver\\share\\file';
+ expect(normalizePath(otherAbsolutePath)).toBe(otherAbsolutePath);
+ });
+ });
+
+ describe('expandHome', () => {
+ it('expands ~ to home directory', () => {
+ const result = expandHome('~/test');
+ expect(result).toContain('test');
+ expect(result).not.toContain('~');
+ });
+
+ it('leaves other paths unchanged', () => {
+ expect(expandHome('C:/test')).toBe('C:/test');
+ });
+ });
+});
diff --git a/src/filesystem/index.ts b/src/filesystem/index.ts
index c544ff25..00b8782f 100644
--- a/src/filesystem/index.ts
+++ b/src/filesystem/index.ts
@@ -97,6 +97,8 @@ async function validatePath(requestedPath: string): Promise {
// Schema definitions
const ReadFileArgsSchema = z.object({
path: z.string(),
+ tail: z.number().optional().describe('If provided, returns only the last N lines of the file'),
+ head: z.number().optional().describe('If provided, returns only the first N lines of the file')
});
const ReadMultipleFilesArgsSchema = z.object({
@@ -127,6 +129,11 @@ const ListDirectoryArgsSchema = z.object({
path: z.string(),
});
+const ListDirectoryWithSizesArgsSchema = z.object({
+ path: z.string(),
+ sortBy: z.enum(['name', 'size']).optional().default('name').describe('Sort entries by name or size'),
+});
+
const DirectoryTreeArgsSchema = z.object({
path: z.string(),
});
@@ -330,6 +337,107 @@ async function applyFileEdits(
return formattedDiff;
}
+// Helper functions
+function formatSize(bytes: number): string {
+ const units = ['B', 'KB', 'MB', 'GB', 'TB'];
+ if (bytes === 0) return '0 B';
+
+ const i = Math.floor(Math.log(bytes) / Math.log(1024));
+ if (i === 0) return `${bytes} ${units[i]}`;
+
+ return `${(bytes / Math.pow(1024, i)).toFixed(2)} ${units[i]}`;
+}
+
+// Memory-efficient implementation to get the last N lines of a file
+async function tailFile(filePath: string, numLines: number): Promise {
+ const CHUNK_SIZE = 1024; // Read 1KB at a time
+ const stats = await fs.stat(filePath);
+ const fileSize = stats.size;
+
+ if (fileSize === 0) return '';
+
+ // Open file for reading
+ const fileHandle = await fs.open(filePath, 'r');
+ try {
+ const lines: string[] = [];
+ let position = fileSize;
+ let chunk = Buffer.alloc(CHUNK_SIZE);
+ let linesFound = 0;
+ let remainingText = '';
+
+ // Read chunks from the end of the file until we have enough lines
+ while (position > 0 && linesFound < numLines) {
+ const size = Math.min(CHUNK_SIZE, position);
+ position -= size;
+
+ const { bytesRead } = await fileHandle.read(chunk, 0, size, position);
+ if (!bytesRead) break;
+
+ // Get the chunk as a string and prepend any remaining text from previous iteration
+ const readData = chunk.slice(0, bytesRead).toString('utf-8');
+ const chunkText = readData + remainingText;
+
+ // Split by newlines and count
+ const chunkLines = normalizeLineEndings(chunkText).split('\n');
+
+ // If this isn't the end of the file, the first line is likely incomplete
+ // Save it to prepend to the next chunk
+ if (position > 0) {
+ remainingText = chunkLines[0];
+ chunkLines.shift(); // Remove the first (incomplete) line
+ }
+
+ // Add lines to our result (up to the number we need)
+ for (let i = chunkLines.length - 1; i >= 0 && linesFound < numLines; i--) {
+ lines.unshift(chunkLines[i]);
+ linesFound++;
+ }
+ }
+
+ return lines.join('\n');
+ } finally {
+ await fileHandle.close();
+ }
+}
+
+// New function to get the first N lines of a file
+async function headFile(filePath: string, numLines: number): Promise {
+ const fileHandle = await fs.open(filePath, 'r');
+ try {
+ const lines: string[] = [];
+ let buffer = '';
+ let bytesRead = 0;
+ const chunk = Buffer.alloc(1024); // 1KB buffer
+
+ // Read chunks and count lines until we have enough or reach EOF
+ while (lines.length < numLines) {
+ const result = await fileHandle.read(chunk, 0, chunk.length, bytesRead);
+ if (result.bytesRead === 0) break; // End of file
+ bytesRead += result.bytesRead;
+ buffer += chunk.slice(0, result.bytesRead).toString('utf-8');
+
+ const newLineIndex = buffer.lastIndexOf('\n');
+ if (newLineIndex !== -1) {
+ const completeLines = buffer.slice(0, newLineIndex).split('\n');
+ buffer = buffer.slice(newLineIndex + 1);
+ for (const line of completeLines) {
+ lines.push(line);
+ if (lines.length >= numLines) break;
+ }
+ }
+ }
+
+ // If there is leftover content and we still need lines, add it
+ if (buffer.length > 0 && lines.length < numLines) {
+ lines.push(buffer);
+ }
+
+ return lines.join('\n');
+ } finally {
+ await fileHandle.close();
+ }
+}
+
// Tool handlers
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
@@ -340,7 +448,9 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
"Read the complete contents of a file from the file system. " +
"Handles various text encodings and provides detailed error messages " +
"if the file cannot be read. Use this tool when you need to examine " +
- "the contents of a single file. Only works within allowed directories.",
+ "the contents of a single file. Use the 'head' parameter to read only " +
+ "the first N lines of a file, or the 'tail' parameter to read only " +
+ "the last N lines of a file. Only works within allowed directories.",
inputSchema: zodToJsonSchema(ReadFileArgsSchema) as ToolInput,
},
{
@@ -387,6 +497,15 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
"finding specific files within a directory. Only works within allowed directories.",
inputSchema: zodToJsonSchema(ListDirectoryArgsSchema) as ToolInput,
},
+ {
+ name: "list_directory_with_sizes",
+ description:
+ "Get a detailed listing of all files and directories in a specified path, including sizes. " +
+ "Results clearly distinguish between files and directories with [FILE] and [DIR] " +
+ "prefixes. This tool is useful for understanding directory structure and " +
+ "finding specific files within a directory. Only works within allowed directories.",
+ inputSchema: zodToJsonSchema(ListDirectoryWithSizesArgsSchema) as ToolInput,
+ },
{
name: "directory_tree",
description:
@@ -451,6 +570,27 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
throw new Error(`Invalid arguments for read_file: ${parsed.error}`);
}
const validPath = await validatePath(parsed.data.path);
+
+ if (parsed.data.head && parsed.data.tail) {
+ throw new Error("Cannot specify both head and tail parameters simultaneously");
+ }
+
+ if (parsed.data.tail) {
+ // Use memory-efficient tail implementation for large files
+ const tailContent = await tailFile(validPath, parsed.data.tail);
+ return {
+ content: [{ type: "text", text: tailContent }],
+ };
+ }
+
+ if (parsed.data.head) {
+ // Use memory-efficient head implementation for large files
+ const headContent = await headFile(validPath, parsed.data.head);
+ return {
+ content: [{ type: "text", text: headContent }],
+ };
+ }
+
const content = await fs.readFile(validPath, "utf-8");
return {
content: [{ type: "text", text: content }],
@@ -530,11 +670,77 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
};
}
- case "directory_tree": {
- const parsed = DirectoryTreeArgsSchema.safeParse(args);
- if (!parsed.success) {
- throw new Error(`Invalid arguments for directory_tree: ${parsed.error}`);
+ case "list_directory_with_sizes": {
+ const parsed = ListDirectoryWithSizesArgsSchema.safeParse(args);
+ if (!parsed.success) {
+ throw new Error(`Invalid arguments for list_directory_with_sizes: ${parsed.error}`);
+ }
+ const validPath = await validatePath(parsed.data.path);
+ const entries = await fs.readdir(validPath, { withFileTypes: true });
+
+ // Get detailed information for each entry
+ const detailedEntries = await Promise.all(
+ entries.map(async (entry) => {
+ const entryPath = path.join(validPath, entry.name);
+ try {
+ const stats = await fs.stat(entryPath);
+ return {
+ name: entry.name,
+ isDirectory: entry.isDirectory(),
+ size: stats.size,
+ mtime: stats.mtime
+ };
+ } catch (error) {
+ return {
+ name: entry.name,
+ isDirectory: entry.isDirectory(),
+ size: 0,
+ mtime: new Date(0)
+ };
}
+ })
+ );
+
+ // Sort entries based on sortBy parameter
+ const sortedEntries = [...detailedEntries].sort((a, b) => {
+ if (parsed.data.sortBy === 'size') {
+ return b.size - a.size; // Descending by size
+ }
+ // Default sort by name
+ return a.name.localeCompare(b.name);
+ });
+
+ // Format the output
+ const formattedEntries = sortedEntries.map(entry =>
+ `${entry.isDirectory ? "[DIR]" : "[FILE]"} ${entry.name.padEnd(30)} ${
+ entry.isDirectory ? "" : formatSize(entry.size).padStart(10)
+ }`
+ );
+
+ // Add summary
+ const totalFiles = detailedEntries.filter(e => !e.isDirectory).length;
+ const totalDirs = detailedEntries.filter(e => e.isDirectory).length;
+ const totalSize = detailedEntries.reduce((sum, entry) => sum + (entry.isDirectory ? 0 : entry.size), 0);
+
+ const summary = [
+ "",
+ `Total: ${totalFiles} files, ${totalDirs} directories`,
+ `Combined size: ${formatSize(totalSize)}`
+ ];
+
+ return {
+ content: [{
+ type: "text",
+ text: [...formattedEntries, ...summary].join("\n")
+ }],
+ };
+ }
+
+ case "directory_tree": {
+ const parsed = DirectoryTreeArgsSchema.safeParse(args);
+ if (!parsed.success) {
+ throw new Error(`Invalid arguments for directory_tree: ${parsed.error}`);
+ }
interface TreeEntry {
name: string;
diff --git a/src/filesystem/jest.config.cjs b/src/filesystem/jest.config.cjs
new file mode 100644
index 00000000..285141a7
--- /dev/null
+++ b/src/filesystem/jest.config.cjs
@@ -0,0 +1,23 @@
+/** @type {import('ts-jest').JestConfigWithTsJest} */
+module.exports = {
+ preset: 'ts-jest',
+ testEnvironment: 'node',
+ extensionsToTreatAsEsm: ['.ts'],
+ moduleNameMapper: {
+ '^(\\.{1,2}/.*)\\.js$': '$1',
+ },
+ transform: {
+ '^.+\\.tsx?$': [
+ 'ts-jest',
+ {
+ useESM: true,
+ },
+ ],
+ },
+ testMatch: ['**/__tests__/**/*.test.ts'],
+ collectCoverageFrom: [
+ '**/*.ts',
+ '!**/__tests__/**',
+ '!**/dist/**',
+ ],
+}
diff --git a/src/filesystem/package.json b/src/filesystem/package.json
index 6aca648f..482f0cce 100644
--- a/src/filesystem/package.json
+++ b/src/filesystem/package.json
@@ -16,20 +16,26 @@
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
- "watch": "tsc --watch"
+ "watch": "tsc --watch",
+ "test": "jest --config=jest.config.cjs --coverage"
},
"dependencies": {
- "@modelcontextprotocol/sdk": "0.5.0",
+ "@modelcontextprotocol/sdk": "^1.12.3",
"diff": "^5.1.0",
"glob": "^10.3.10",
"minimatch": "^10.0.1",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
+ "@jest/globals": "^29.7.0",
"@types/diff": "^5.0.9",
+ "@types/jest": "^29.5.14",
"@types/minimatch": "^5.1.2",
"@types/node": "^22",
+ "jest": "^29.7.0",
"shx": "^0.3.4",
- "typescript": "^5.3.3"
+ "ts-jest": "^29.1.1",
+ "ts-node": "^10.9.2",
+ "typescript": "^5.8.2"
}
}
\ No newline at end of file
diff --git a/src/filesystem/path-utils.ts b/src/filesystem/path-utils.ts
new file mode 100644
index 00000000..aca7f061
--- /dev/null
+++ b/src/filesystem/path-utils.ts
@@ -0,0 +1,104 @@
+import path from "path";
+import os from 'os';
+
+/**
+ * Converts WSL or Unix-style Windows paths to Windows format
+ * @param p The path to convert
+ * @returns Converted Windows path
+ */
+export function convertToWindowsPath(p: string): string {
+ // Handle WSL paths (/mnt/c/...)
+ if (p.startsWith('/mnt/')) {
+ const driveLetter = p.charAt(5).toUpperCase();
+ const pathPart = p.slice(6).replace(/\//g, '\\');
+ return `${driveLetter}:${pathPart}`;
+ }
+
+ // Handle Unix-style Windows paths (/c/...)
+ if (p.match(/^\/[a-zA-Z]\//)) {
+ const driveLetter = p.charAt(1).toUpperCase();
+ const pathPart = p.slice(2).replace(/\//g, '\\');
+ return `${driveLetter}:${pathPart}`;
+ }
+
+ // Handle standard Windows paths, ensuring backslashes
+ if (p.match(/^[a-zA-Z]:/)) {
+ return p.replace(/\//g, '\\');
+ }
+
+ // Leave non-Windows paths unchanged
+ return p;
+}
+
+/**
+ * Normalizes path by standardizing format while preserving OS-specific behavior
+ * @param p The path to normalize
+ * @returns Normalized path
+ */
+export function normalizePath(p: string): string {
+ // Remove any surrounding quotes and whitespace
+ p = p.trim().replace(/^["']|["']$/g, '');
+
+ // Check if this is a Unix path (starts with / but not a Windows or WSL path)
+ const isUnixPath = p.startsWith('/') &&
+ !p.match(/^\/mnt\/[a-z]\//i) &&
+ !p.match(/^\/[a-zA-Z]\//);
+
+ if (isUnixPath) {
+ // For Unix paths, just normalize without converting to Windows format
+ // Replace double slashes with single slashes and remove trailing slashes
+ return p.replace(/\/+/g, '/').replace(/\/+$/, '');
+ }
+
+ // Convert WSL or Unix-style Windows paths to Windows format
+ p = convertToWindowsPath(p);
+
+ // Handle double backslashes, preserving leading UNC \\
+ if (p.startsWith('\\\\')) {
+ // For UNC paths, first normalize any excessive leading backslashes to exactly \\
+ // Then normalize double backslashes in the rest of the path
+ let uncPath = p;
+ // Replace multiple leading backslashes with exactly two
+ uncPath = uncPath.replace(/^\\{2,}/, '\\\\');
+ // Now normalize any remaining double backslashes in the rest of the path
+ const restOfPath = uncPath.substring(2).replace(/\\\\/g, '\\');
+ p = '\\\\' + restOfPath;
+ } else {
+ // For non-UNC paths, normalize all double backslashes
+ p = p.replace(/\\\\/g, '\\');
+ }
+
+ // Use Node's path normalization, which handles . and .. segments
+ let normalized = path.normalize(p);
+
+ // Fix UNC paths after normalization (path.normalize can remove a leading backslash)
+ if (p.startsWith('\\\\') && !normalized.startsWith('\\\\')) {
+ normalized = '\\' + normalized;
+ }
+
+ // Handle Windows paths: convert slashes and ensure drive letter is capitalized
+ if (normalized.match(/^[a-zA-Z]:/)) {
+ let result = normalized.replace(/\//g, '\\');
+ // Capitalize drive letter if present
+ if (/^[a-z]:/.test(result)) {
+ result = result.charAt(0).toUpperCase() + result.slice(1);
+ }
+ return result;
+ }
+
+ // For all other paths (including relative paths), convert forward slashes to backslashes
+ // This ensures relative paths like "some/relative/path" become "some\\relative\\path"
+ return normalized.replace(/\//g, '\\');
+}
+
+/**
+ * Expands home directory tildes in paths
+ * @param filepath The path to expand
+ * @returns Expanded path
+ */
+export function expandHome(filepath: string): string {
+ if (filepath.startsWith('~/') || filepath === '~') {
+ return path.join(os.homedir(), filepath.slice(1));
+ }
+ return filepath;
+}
diff --git a/src/git/README.md b/src/git/README.md
index 6aaf81ac..08e7df2c 100644
--- a/src/git/README.md
+++ b/src/git/README.md
@@ -288,12 +288,13 @@ If you are doing local development, there are two ways to test your changes:
"mcpServers": {
"git": {
"command": "uv",
- "args": [
+ "args": [
"--directory",
"//mcp-servers/src/git",
"run",
"mcp-server-git"
]
+ }
}
}
```
diff --git a/src/sequentialthinking/README.md b/src/sequentialthinking/README.md
index d7a03dca..fd90b9b1 100644
--- a/src/sequentialthinking/README.md
+++ b/src/sequentialthinking/README.md
@@ -77,6 +77,9 @@ Add this to your `claude_desktop_config.json`:
}
```
+To disable logging of thought information set env var: `DISABLE_THOUGHT_LOGGING` to `true`.
+Comment
+
### Usage with VS Code
For quick installation, click one of the installation buttons below...
diff --git a/src/sequentialthinking/index.ts b/src/sequentialthinking/index.ts
index c10301d7..bd486fdb 100644
--- a/src/sequentialthinking/index.ts
+++ b/src/sequentialthinking/index.ts
@@ -25,6 +25,11 @@ interface ThoughtData {
class SequentialThinkingServer {
private thoughtHistory: ThoughtData[] = [];
private branches: Record = {};
+ private disableThoughtLogging: boolean;
+
+ constructor() {
+ this.disableThoughtLogging = (process.env.DISABLE_THOUGHT_LOGGING || "").toLowerCase() === "true";
+ }
private validateThoughtData(input: unknown): ThoughtData {
const data = input as Record;
@@ -100,8 +105,10 @@ class SequentialThinkingServer {
this.branches[validatedInput.branchId].push(validatedInput);
}
- const formattedThought = this.formatThought(validatedInput);
- console.error(formattedThought);
+ if (!this.disableThoughtLogging) {
+ const formattedThought = this.formatThought(validatedInput);
+ console.error(formattedThought);
+ }
return {
content: [{