MCP Server Directory
The most comprehensive directory of Model Context Protocol (MCP) servers. MCP enables AI agents to interact with external tools and services through a standardized protocol. Browse by platform or use case.
Developer Tools
MCP servers for development workflows — GitHub, databases, filesystems, and more.
Communication & Collaboration
MCP servers for team communication — Slack, email, and messaging platforms.
Productivity & Docs
MCP servers for productivity tools — Notion, Google Drive, and document management.
Web & Automation
MCP servers for web browsing, search, and browser automation.
Data & Memory
MCP servers for persistent memory, knowledge graphs, and data management.
Location & Maps
MCP servers for geocoding, place search, and location-based services.
All MCP Servers
Complete list of indexed MCP servers
GitHub MCP Server
MCP server for GitHub repository operations
Slack MCP Server
MCP server for Slack workspace interactions
Notion MCP Server
MCP server for Notion workspace management
PostgreSQL MCP Server
MCP server for PostgreSQL database operations
Filesystem MCP Server
MCP server for local filesystem operations
Google Drive MCP Server
MCP server for Google Drive file operations
Brave Search MCP Server
MCP server for web search via Brave Search API
Puppeteer MCP Server
MCP server for browser automation via Puppeteer
Memory MCP Server
MCP server for persistent knowledge graph memory
SQLite MCP Server
MCP server for SQLite database operations
Sentry MCP Server
MCP server for Sentry error tracking integration
Linear MCP Server
MCP server for Linear project management
Fetch MCP Server
MCP server for fetching and converting web content
Google Maps MCP Server
MCP server for Google Maps location services
What is MCP (Model Context Protocol)?
The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants to connect with external data sources and tools. Think of it as a USB port for AI — a standardized way for AI agents to interact with the world.
MCP servers expose capabilities (tools, resources, prompts) that AI clients like Claude, Cursor, and Windsurf can use. This allows AI agents to read files, query databases, send messages, browse the web, and much more — all through a secure, standardized protocol.
The ecosystem is growing rapidly, with servers available for GitHub, Slack, Notion, PostgreSQL, web browsing, and dozens of other platforms and services.