MCP Encyclopedia

microsoft/markitdown Details →

Featured Python

191k

An official Microsoft document-conversion tool that turns Word, PDF, Excel and PPT into Markdown in one click, so AI can read your documents directly.

Panniantong/Agent-Reach Details →

Featured Python

99.2k

Let your AI agent see the entire internet: read and search content from Twitter, Reddit, YouTube, GitHub and more. An essential tool for information-seeking agents.

punkpeye/awesome-mcp-servers Details →

Featured

96.6k

The most authoritative collection of MCP servers on GitHub: hundreds of servers organized by use case. The first place to look when hunting for MCP tools.

The official collection of reference MCP server implementations (filesystem, git, memory, fetch and more) — the best examples for implementing and integrating the protocol.

A context-optimization layer for LLM applications that automatically manages the context window — dramatically improving agent performance in long conversations and large codebases.

Indexes an entire codebase into a persistent knowledge graph: supports 35 languages with millisecond queries, roughly 99% faster than grep. Long-term memory for coding AI agents.

microsoft/playwright-mcp Details →

Featured TypeScript

38.4k

An official Microsoft MCP server for browser automation: lets AI agents control a browser to click, fill forms, screenshot and scrape. The go-to for web automation.

github/github-mcp-server Details →

Featured Go

33.7k

The official GitHub MCP server: lets AI agents directly manage repositories, PRs and issues. A core component of developer automation workflows.

AIHawk, an automated job-application assistant: a browser-based AI agent that browses job listings, customizes your resume and applies for you. A job-hunting automation wonder.

Lets AI command Blender through natural language for 3D modeling, scene creation and editing. A flagship project for creating 3D assets with prompts.

A lightweight cross-platform database client at just 20MB, with built-in MCP support that lets AI agents query and manage your databases directly.

The official MCP Python SDK: quickly build MCP servers and clients in Python. Officially maintained with thorough docs — the standard starting point for developers.

Feeds Figma layout and style information to coding agents like Cursor and Claude Code, so AI can build the frontend to match the design file.

The official MCP TypeScript SDK: the best way to build MCP servers and clients in the JS/TS ecosystem, seamless with the Node stack.

A Chrome-operating MCP: lets AI drive the browser to click, fill forms and screenshot — a lightweight way to automate web operations.

Connects to 3,000+ pre-built cloud scraping tools (Actors) on the Apify platform, covering websites, e-commerce, social media, search engines and more.

A big curated collection of MCPs for Chinese users: a search-friendly list of MCP servers, the first stop for developers in China.

TalkToFigma: connects AI coding agents (Cursor / Claude Code / Codex) to Figma, letting them read the design directly and modify it programmatically.

A broad collection of AI MCP servers: hundreds of servers organized by use case, actively community-maintained. A complementary entry point for finding MCPs.

The official MCP Go SDK: write high-performance MCP servers and clients in Go. Great for building production-grade, high-concurrency MCP tools.

The Home Assistant smart-home MCP: lets AI control devices in your home and query their status — build your own AI smart-home hub.

The official MCP C# SDK: the standard way for .NET developers to integrate MCP, covering both servers and clients. Suited to enterprise projects.

One of the earliest MCP server collections: broad coverage with indexes of common browser, database, filesystem and developer-tool servers.

A collection of official Microsoft MCP deployment solutions: centralizes MCP integration for multiple Microsoft products, letting agents interop with the Microsoft ecosystem.

The official MCP Java SDK: build MCP servers and clients in the Java ecosystem, friendly to Spring and other frameworks. A top pick for back-end teams.

Grafana's official MCP server: lets AI query dashboards and data sources to diagnose observability problems.

A document-parsing MCP: parses PDF, Word and other document types into structured content — a preprocessing tool before feeding content to AI.

A set of MCP adapters and tools: provides MCP integration adapters for common applications, lowering the barrier to building servers and ecosystem integration yourself.

An MCP app store: packages MCP servers and clients into one-click installable products. A distribution platform for the MCP ecosystem.

A curated collection of Claude plugins: gathers plugins, extensions and skills around Claude Code / Copilot to enhance everyday development.

MiniMax's official MCP: a one-stop server that brings image generation, text-to-video, speech and other multimodal capabilities into your AI tools.

The Qdrant vector-database MCP: lets AI operate a knowledge base directly for semantic retrieval — the standard vector storage for RAG applications.

An AI accessibility-testing browser: lets agents automatically run accessibility (a11y) checks on web pages, helping with QA and compliance.

A collection of DevOps-oriented MCP servers: Kubernetes, IaC, monitoring and CI/CD servers, curated for DevOps engineers.