MCP Directory
ServersClientsBlog
MCP Directory

Model Context Protocol Directory

MKSF LTD
Suite 8805 5 Brayford Square
London, E1 0SG

MCP Directory

  • About
  • Blog
  • Documentation
  • Contact

Menu

  • Servers
  • Clients

© 2025 model-context-protocol.com

The Model Context Protocol (MCP) is an open standard for AI model communication.
Powered by Mert KoseogluSoftware Forge

MCP Clients

Browse and discover Model Context Protocol compatible clients.

Documentation

Categories

  • All257
  • AI165
  • Developer Tools68
  • Communication12
  • Productivity7
  • System Tools3
  • Search & Knowledge2

All clients

Clear Filters
  • mcpm.sh

    705

    CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.

    Python
  • Context

    682

    Native macOS client for Model Context Protocol (MCP)

    Swift
  • HyperChat

    658

    HyperChat is an open-source chat client supporting various LLMs and MCP, offering a user-friendly experience with features like agent creation, dark mode, and resource management. HyperChat is an open-source chat

    JavaScript
  • VectorCode

    623

    VectorCode is a tool that indexes code repositories to help users write better prompts for coding LLMs by providing project context. It includes a neovim plugin and uses Chromadb as

    Python
  • mcp-client-cli

    618

    This repository provides a CLI client for running LLM prompts and interacting with Model Context Protocol (MCP) servers. It allows users to leverage various LLM providers and MCP-compatible services from their terminal.

    Python
  • ai-guide

    613

    程序员鱼皮的 AI 知识库,汇总热门的 AI 大模型和工具,比如 Deepseek 使用指南、提示词技巧、知识干货、应用场景、AI 变现、行业资讯、教程资源等一系列内容,帮助你快速掌握 AI 技术,走在时代前沿。涉及大模型 ChatGPT、Claude、Gemini、Deepseek、Deepseek-r1、QWEN、GROK 等;涉及技术 Spring AI、LangChain、RAG、MCP、

    JavaScript
  • langgraph-mcp-agents

    612

    LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing vario

    Python
  • arcade-ai

    607

    Arcade Python SDK, CLI, and toolkits

    Python
  • qgis_mcp

    605

    QGISMCP integrates QGIS with Claude AI via the Model Context Protocol, enabling Claude to control QGIS for tasks like project creation, layer manipulation, and code execution. It uses a QGIS

    Python
  • ai-gateway

    600

    Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.

    Rust
  • AWorld

    599

    AWorld facilitates building, evaluating, and running General Multi-Agent Assistance, bridging the gap between theoretical MAS capabilities and real-world applications. It allows users to create agentic prototypes and extend them for practical needs.

    Python
  • enrichmcp

    597

    EnrichMCP is a python framework for building data driven MCP servers

    Python
  • workers-mcp

    586

    The `workers-mcp` repository provides tools to connect Claude Desktop or other MCP clients to a Cloudflare Worker, enabling custom functionalities and access to Cloudflare's services from within the LLM coding agent.

    TypeScript
  • go-mcp

    578

    Go-MCP is a powerful Go(Golang) version of the MCP SDK that implements the Model Context Protocol (MCP) to facilitate seamless communication between external systems and AI applications.

    Go
  • agent-kit

    576

    AgentKit enables building multi-agent networks with deterministic routing and rich tooling via MCP, supporting TypeScript AI developers with fault-tolerant cloud deployment. It offers flexible routing, multiple model providers, and built-in tracing.

    TypeScript
  • Previous
  • 1
  • More pages
  • 7
  • 8
  • 9
  • More pages
  • 18
  • Next