# Model Context Protocol Directory

> The community directory of MCP servers and clients for AI agents.

## What is MCP?

Model Context Protocol (MCP) is an open standard that lets AI models securely connect
to external data sources and tools. This directory catalogs MCP servers and clients
with AI-analyzed descriptions, setup guides, and live GitHub metadata.

## Browse

- MCP Servers: https://model-context-protocol.com/servers
- MCP Clients: https://model-context-protocol.com/clients
- Blog & guides: https://model-context-protocol.com/blog
- Full LLM index: https://model-context-protocol.com/llms.txt
- API catalog: https://model-context-protocol.com/.well-known/api-catalog

## Server Categories

- AI (436)
- Developer Tools (302)
- Communication (57)
- System Tools (48)
- Database (42)
- Search & Knowledge (40)
- Productivity (35)
- Sales (3)

## Top MCP Servers (by GitHub stars)

- [everything-claude-code](https://model-context-protocol.com/servers/everything-claude-code): The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development f (291,608 stars)
- [n8n](https://model-context-protocol.com/servers/n8n): Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host  (208,894 stars)
- [dify](https://model-context-protocol.com/servers/dify): Production-ready platform for agentic workflow development. (159,829 stars)
- [graphify](https://model-context-protocol.com/servers/graphify): Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill fo (137,672 stars)
- [Agent-Reach](https://model-context-protocol.com/servers/agent-reach): Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongSh (105,503 stars)
- [awesome-mcp-servers](https://model-context-protocol.com/servers/awesome-mcp-model-context-protocol-servers): A collection of MCP servers. (96,995 stars)
- [ragflow](https://model-context-protocol.com/servers/ragflow): RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. (93,022 stars)
- [servers](https://model-context-protocol.com/servers/model-context-protocol-mcp-servers): Model Context Protocol Servers (91,640 stars)
- [Scrapling](https://model-context-protocol.com/servers/scrapling): 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! (90,197 stars)
- [crawl4ai](https://model-context-protocol.com/servers/crawl4ai): Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, (86,464 stars)
- [netdata](https://model-context-protocol.com/servers/netdata): The fastest path to AI-powered full stack observability, even for lean teams. (81,142 stars)
- [awesome-claude-skills](https://model-context-protocol.com/servers/awesome-claude-skills): A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows (78,157 stars)
- [headroom](https://model-context-protocol.com/servers/headroom): Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library (78,052 stars)
- [system_prompts_leaks](https://model-context-protocol.com/servers/system-prompts-leaks): Collection of extracted System Prompts from popular chatbots like ChatGPT, Claude & Gemini (70,273 stars)
- [context7](https://model-context-protocol.com/servers/upstash-context7): Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors (63,831 stars)