MCP Server Directory for Claude Code

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.

Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale

🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.

Context-aware AI assistant for your desktop. Ready to respond intelligently, seamlessly integrating multiple LLMs and MCP tools.

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

WhatsApp MCP server

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌

A model-driven approach to building AI agents in just a few lines of code.

Awesome MCP Servers - A curated list of Model Context Protocol servers

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

Install, run and deploy your own decentralized AI agent service

Adversary simulation and Red teaming platform with AI

opensource self-hosted sandboxes for ai agents

RuoYi AI 是一个全栈式 AI 开发平台，旨在帮助开发者快速构建和部署个性化的 AI 应用。

Allows you to emulate an Android native library, and an experimental iOS emulation

ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

UI over MCP. Create next-gen UI experiences with the protocol and SDK!

MCP Server for Computer Use in Windows