MCP Servers 18,731
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Agent
Build effective agents using Model Context Protocol and simple workflow patterns

Kaneo
Official MCP server for Kaneo: manage tasks, projects, and labels from Claude and other MCP clients

Git
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project

Lamda
Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P…

Stitch Skills
A library of Agent Skills designed to work with the Stitch MCP server.

Webiny Js
Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3).

Upsonic
Build autonomous AI agents in Python.

Sui Knowledge Base (kapa.ai)
Semantic search across Sui documentation and knowledge sources, powered by kapa.ai

Osaurus
Own your AI.

Awesome ZH
MCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients

Bifrost
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k…

Firecrawl MCP Server
MCP server for Firecrawl — web search, scraping, and biomedical/arXiv paper search.

Browser Tools
Monitor browser logs directly from Cursor and other MCP compatible IDEs.

Unstract
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

Cursor Talk To Figma
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and m…

Windows
An MCP Server for computer-use in Windows OS

Honcho
Memory that reasons: continual learning for stateful agents.

Airweave Search
MCP server for searching Airweave collections with natural language queries.

XcodeBuildMCP
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

Claude Code Explorer MCP
Explore the Claude Code CLI source — browse tools, commands, search code, and more.

Awesome Agentic Ai Zh
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples.

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