Model Context Protocol Servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community built servers and additional resources.

The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. Each MCP server is implemented with either the Typescript MCP SDK or Python MCP SDK.

Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.

🌟 Reference Servers:

These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.

AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
Brave Search - Web and local search using Brave's Search API
EverArt - AI image generation using various models
Everything - Reference / test server with prompts, resources, and tools
Fetch - Web content fetching and conversion for efficient LLM usage
Filesystem - Secure file operations with configurable access controls
Git - Tools to read, search, and manipulate Git repositories
GitHub - Repository management, file operations, and GitHub API integration
GitLab - GitLab API, enabling project management
Google Drive - File access and search capabilities for Google Drive
Google Maps - Location services, directions, and place details
Memory - Knowledge graph-based persistent memory system
PostgreSQL - Read-only database access with schema inspection
Puppeteer - Browser automation and web scraping
Sentry - Retrieving and analyzing issues from Sentry.io
Sequential Thinking - Dynamic and reflective problem-solving through thought sequences
Slack - Channel management and messaging capabilities
Sqlite - Database interaction and business intelligence capabilities
Time - Time and timezone conversion capabilities