Example Servers

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

• EverArt - AI image generation using various models
• Sequential Thinking - Dynamic problem-solving through thought sequences
• 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.