A curated list of awesome Model Context Protocol (MCP) servers.
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
- 🎖️ – official implementation
- 🐍 – Python codebase
- 📇 – TypeScript codebase
- 🏎️ – Go codebase
- ☁️ - Cloud Service
- 🏠 - Local Service
- 📂 - Browser Automation
- ☁️ - Cloud Platforms
- 💬 - Communication
- 🗄️ - Databases
- 📂 - File Systems
- 🧠 - Knowledge & Memory
- 🗺️ - Location Services
- 📊 - Monitoring
- 🔎 - Search
- 🔄 - Version Control
- 🛠️ - Other Tools and Integrations
📂 Browser Automation top⇈
Web content access and automation capabilities. Enables searching, scraping, and processing web content in AI-friendly formats.
- @modelcontextprotocol/server-puppeteer 📇 🏠 - Browser automation for web scraping and interaction
- @modelcontextprotocol/server-youtube 📇 ☁️ - Fetch YouTube subtitles and transcripts for AI analysis
☁️ Cloud Platforms top⇈
Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.
- Cloudflare MCP Server 🎖️ 📇 ☁️ - Integration with Cloudflare services including Workers, KV, R2, and D1
💬 Communication top⇈
Integration with communication platforms for message management and channel operations. Enables AI models to interact with team communication tools.
- @modelcontextprotocol/server-slack 📇 ☁️ - Slack workspace integration for channel management and messaging
🗄️ Databases top⇈
Secure database access with schema inspection capabilities. Enables querying and analyzing data while maintaining read-only safety by default.
- @modelcontextprotocol/server-postgres 📇 🏠 - PostgreSQL database integration with schema inspection and query capabilities
- @modelcontextprotocol/server-sqlite 🐍 🏠 - SQLite database operations with built-in analysis features
📂 File Systems top⇈
Provides direct access to local file systems with configurable permissions. Enables AI models to read, write, and manage files within specified directories.
- @modelcontextprotocol/server-filesystem 📇 🏠 - Direct local file system access.
- @modelcontextprotocol/server-google-drive 📇 ☁️ - Google Drive integration for listing, reading, and searching files
- mark3labs/mcp-filesystem-server 🏎️ 🏠 - Golang implementation for local file system access.
🧠 Knowledge & Memory top⇈
Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
- @modelcontextprotocol/server-memory 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
🗺️ Location Services top⇈
Geographic and location-based services integration. Enables access to mapping data, directions, and place information.
- @modelcontextprotocol/server-google-maps 📇 ☁️ - Google Maps integration for location services, routing, and place details
📊 Monitoring top⇈
Access and analyze application monitoring data. Enables AI models to review error reports and performance metrics.
- @modelcontextprotocol/server-sentry 🐍 ☁️ - Sentry.io integration for error tracking and performance monitoring
- @modelcontextprotocol/server-raygun 📇 ☁️ - Raygun API V3 integration for crash reporting and real user monitoring
🔎 Search top⇈
Web search capabilities.
- @modelcontextprotocol/server-brave-search 📇 ☁️ - Web search capabilities using Brave's Search API
- @angheljf/nyt 📇 ☁️ - Search articles using the NYTimes API
- @modelcontextprotocol/server-fetch 🐍 🏠 ☁️ - Efficient web content fetching and processing for AI consumption
- ac3xx/mcp-servers-kagi 📇 ☁️ - Kagi search API integration
- theishangoswami/exa-mcp-server 📇 ☁️ - Exa AI Search API
- exa-labs/exa-mcp-server 🎖️ 📇 ☁️ – A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
- fatwang2/search1api-mcp 📇 ☁️ - Search via search1api (requires paid API key)
- Tomatio13/mcp-server-tavily ☁️ 🐍 – Tavily AI search API
- blazickjp/arxiv-mcp-server ☁️ 🐍 - Search ArXiv research papers
🔄 Version Control top⇈
Interact with Git repositories and version control platforms. Enables repository management, code analysis, pull request handling, issue tracking, and other version control operations through standardized APIs.
- @modelcontextprotocol/server-github 📇 ☁️ - GitHub API integration for repository management, PRs, issues, and more
- @modelcontextprotocol/server-gitlab 📇 ☁️ 🏠 - GitLab platform integration for project management and CI/CD operations
- @modelcontextprotocol/server-git 🐍 🏠 - Direct Git repository operations including reading, searching, and analyzing local repositories
🛠️ Other Tools and Integrations top⇈
- pierrebrunelle/mcp-server-openai 🐍 ☁️ - Query OpenAI models directly from Claude using MCP protocol
- @modelcontextprotocol/server-everything 📇 🏠 - MCP server that exercises all the features of the MCP protocol
- baba786/phabricator-mcp-server 🐍 ☁️ - Interacting with Phabricator API
- MarkusPfundstein/mcp-obsidian 🐍 ☁️ 🏠 - Interacting with Obsidian via REST API
- calclavia/mcp-obsidian 📇 🏠 - This is a connector to allow Claude Desktop (or any MCP client) to read and search any directory containing Markdown notes (such as an Obsidian vault).
- anaisbetts/mcp-youtube 📇 ☁️ - Fetch YouTube subtitles
- danhilse/notion_mcp 🐍 ☁️ - Integrates with Notion's API to manage personal todo lists
- rusiaaman/wcgw 🐍 🏠 - Autonomous shell execution, computer control and coding agent. (Mac)
- reeeeemo/ancestry-mcp 🐍 🏠 - Allows the AI to read .ged files and genetic data
- Genkit MCP 📇 – Provides integration between Genkit and the Model Context Protocol (MCP).
- @modelcontextprotocol/server-langchain 🐍 - Provides MCP tool calling support in LangChain, allowing for the integration of MCP tools into LangChain workflows.
- mark3labs/mcp-go 🏎️ - Golang SDK for building MCP Servers and Clients.
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