Examples

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

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
• Tinybird - Interface with the Tinybird serverless ClickHouse platform

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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

• MCP Servers Repository - Complete collection of reference implementations and community servers
• Awesome MCP Servers - Curated list of MCP servers
• MCP CLI - Command-line inspector for testing MCP servers
• MCP Get - Tool for installing and managing MCP servers

Visit our GitHub Discussions to engage with the MCP community.