A list of example servers and implementationsThis 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.These official reference servers demonstrate core MCP features and SDK usage: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 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 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 Slack - Channel management and messaging capabilities Google Maps - Location services, directions, and place details Memory - Knowledge graph-based persistent memory system EverArt - AI image generation using various models AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime 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 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 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.
TypeScript-based servers can be used directly with npx
:Python-based servers can be used with uvx
(recommended) or pip
: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>"
}
}
}
}
MCP CLI - Command-line inspector for testing MCP servers MCP Get - Tool for installing and managing MCP servers Modified at 2025-03-12 06:45:20