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The Model Context Protocol (MCP) is an open standard for AI model communication.
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MCP Clients

Browse and discover Model Context Protocol compatible clients.

Documentation

Categories

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

AI clients

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  • solon-ai

    125

    Java AI（智能体） 全场景应用开发框架（LLM，Function Call，RAG，Embedding，Reranking，Flow，MCP Server，Mcp Client，Mcp Proxy）。同时兼容 java8 ~ java24。

    Java

  • mcp-toolbox-sdk-python

    120

    Python SDK for interacting with the MCP Toolbox for Databases.

    Python

  • react-agent-hooks

    83

    Turn React hooks into LLM tools

    TypeScript

  • docs

    82

    No description provided

    HTML

  • mcp_client

    77

    This repository provides two MCP client implementations that connect to an MCP server and send queries to Google Gemini AI. It enables Gemini to call external tools and maintains conversation

    Python

  • mcp-dockmaster

    76

    MCP Dockmaster allows you to easily install and manage MCP servers. Available for Mac, Windows and Linux as a Desktop App, CLI and a library.

    Rust

  • mcp-ui

    72

    基于MCP(Model Context Protocol)的智能聊天应用，支持Web和桌面环境。集成OpenAI/Anthropic API，提供MCP服务器的所有工具能力。简洁现代的UI设计，支持跨平台部署。

    Vue

  • mcp_gradio_client

    68

    This repository showcases a Model Context Protocol (MCP) client built with Gradio, demonstrating interaction with MCP servers via STDIO and SSE for seamless tool integration within a user-friendly interface.

    Python

  • imessage-query-fastmcp-mcp-server

    67

    An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to que

    Python

  • ollama-mcp-client

    64

    This repository provides a basic MCP client implementation that leverages the Ollama API to retrieve MCP data, replacing the original Claude-specific code and currently supporting only stdio transport for communication.

    Python

  • OmniMCP

    57

    OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

    Python

  • openai-mcp-client

    54

    This repository demonstrates using the Model Context Protocol with OpenAI to build a chat-based agent. It provides a starting point for projects, but users should be aware of potential token usage costs.

    TypeScript

  • mcp-browser-use

    51

    FastAPI server implementing MCP protocol Browser automation via browser-use library.

    Python

  • mcp-openai

    49

    This repository provides a minimal MCP client library, enabling LLM UIs to support the Model Context Protocol through an OpenAI-compatible API. It facilitates integration with locally runnable inference engines.

    Python

  • mcp-client

    48

    This repository provides a REST API and CLI client for interacting with Model Context Protocol (MCP) servers, leveraging LangChain for LLM prompts and supporting various LLM providers. It enables collaboration

    Python
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