Model Context Protocol
MCP is an open protocol that standardizes how applications provide context to LLMs.
Context
Reference Servers
See GitHub Project for a list of implementation examples. The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
- 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
Other