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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Current reference servers

  • Filesystem - Secure file operations with configurable access controls
  • Fetch - Web content fetching and conversion optimized for LLM usage
  • Memory - Knowledge graph-based persistent memory system
  • Sequential Thinking - Dynamic problem-solving through thought sequences

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Archived servers (historical reference)

⚠️ Note: The following servers have been moved to the servers-archived repository and are no longer actively maintained. They are provided for historical reference only.

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Data and file systems

  • 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
  • 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

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AI and specialized tools

  • EverArt - AI image generation using various models
  • AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime

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Official integrations

Visit the MCP Servers Repository (Official Integrations section) for a list of MCP servers maintained by companies for their platforms.

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Community implementations

Visit the MCP Servers Repository (Community section) for a list of MCP servers maintained by community members.

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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 the MCP Servers Repository (Resources section) for a collection of other resources and projects related to MCP.

Visit our GitHub Discussions to engage with the MCP community.