This page showcases various Model Context Protocol (MCP) servers that demonstrate the protocol’s capabilities and versatility. These servers enable Large Language Models (LLMs) to securely access tools and data sources.

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Reference implementations

These official reference servers demonstrate core MCP features and SDK usage:

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Data and file systems

  • Filesystem - Secure file operations with configurable access controls
  • PostgreSQL - Read-only database access with schema inspection capabilities
  • SQLite - Database interaction and business intelligence features
  • Google Drive - File access and search capabilities for Google Drive

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Development tools

  • Git - Tools to read, search, and manipulate Git repositories
  • GitHub - Repository management, file operations, and GitHub API integration
  • GitLab - GitLab API integration enabling project management
  • Sentry - Retrieving and analyzing issues from Sentry.io

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Web and browser automation

  • Brave Search - Web and local search using Brave’s Search API
  • Fetch - Web content fetching and conversion optimized for LLM usage
  • Puppeteer - Browser automation and web scraping capabilities

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Productivity and communication

  • Slack - Channel management and messaging capabilities
  • Google Maps - Location services, directions, and place details
  • Memory - Knowledge graph-based persistent memory system

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AI and specialized tools

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Official integrations

These MCP servers are maintained by companies for their platforms:
  • Axiom - Query and analyze logs, traces, and event data using natural language
  • Browserbase - Automate browser interactions in the cloud
  • Cloudflare - Deploy and manage resources on the Cloudflare developer platform
  • E2B - Execute code in secure cloud sandboxes
  • Neon - Interact with the Neon serverless Postgres platform
  • Obsidian Markdown Notes - Read and search through Markdown notes in Obsidian vaults
  • Qdrant - Implement semantic memory using the Qdrant vector search engine
  • Raygun - Access crash reporting and monitoring data
  • Search1API - Unified API for search, crawling, and sitemaps
  • Stripe - Interact with the Stripe API
  • Tinybird - Interface with the Tinybird serverless ClickHouse platform
  • Weaviate - Enable Agentic RAG through your Weaviate collection(s)

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Community highlights

A growing ecosystem of community-developed servers extends MCP’s capabilities:
  • Docker - Manage containers, images, volumes, and networks
  • Kubernetes - Manage pods, deployments, and services
  • Linear - Project management and issue tracking
  • Snowflake - Interact with Snowflake databases
  • Spotify - Control Spotify playback and manage playlists
  • Todoist - Task management integration
Note: Community servers are untested and should be used at your own risk. They are not affiliated with or endorsed by Anthropic.
For a complete list of community servers, visit the MCP Servers Repository.

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Getting started

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Using reference servers

TypeScript-based servers can be used directly with npx: 
npx -y @modelcontextprotocol/server-memory
Python-based servers can be used with uvx (recommended) or pip: 
# Using uvx
uvx mcp-server-git

# Using pip
pip install mcp-server-git
python -m mcp_server_git

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Configuring with Claude

To use an MCP server with Claude, add it to your configuration: 
{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

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Additional resources

Visit our GitHub Discussions to engage with the MCP community.