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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.

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  • mcp-client-cli

    678

    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
  • wcgw

    664

    This repository empowers chat applications like Claude and ChatGPT to code, build, and run programs locally, offering shell access and code editing tools with safety warnings and various helpful features.

    Python
  • enrichmcp

    647

    EnrichMCP is a python framework for building data driven MCP servers

    Python
  • workers-mcp

    641

    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
  • tome

    625

    **Option 1 (Focus on LLM client):** LLM desktop client leveraging MCP for easy access & use of Large Language Models. **Option 2 (Focus on MCP integration):** MCP-integrated desktop client simplify

    Svelte
  • awesome-a2a

    623

    Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.

  • 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
  • FLUJO

    589

    FLUJO is an open-source platform that unifies workflow orchestration, Model-Context-Protocol, and AI tool integration, providing a local interface for managing AI models, MCP servers, and complex workflows. It is powered by PocketFlowFramework.

    TypeScript
  • langgraph-mcp

    582

    This repository showcases a Universal Assistant built with LangGraph and Model Context Protocol (MCP), enabling seamless integration of language models with external data sources and tools through a multi-agent workflow.

    Python
  • 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
  • mcp.el

    577

    This repository provides MCP.el, an Emacs client for the Model Context Protocol, enabling structured communication with MCP servers and offering features like resource management and integration with other Emacs packages.

    Emacs Lisp
  • fleur

    534

    Fleur is an open-source desktop app marketplace for Claude Desktop and Cursor, enabling users to discover, install, and manage apps without using the command line. It is lightweight, fast, and extensible.

    TypeScript
  • dolphin-mcp

    532

    Dolphin MCP is a Python library and CLI tool for interacting with Model Context Protocol servers using natural language. It supports multiple LLMs and provides a conversational interface for accessing

    Python
  • UnityMCP

    521

    UnityMCP is a Unity Editor plugin implementing the Model Context Protocol, enabling seamless integration between Unity and AI assistants. It offers real-time editor state monitoring, remote command execution, and logging capabilities.

    C#
  • mcp-get

    510

    This repository provides a command-line tool, `mcp-get`, for installing and managing Model Context Protocol (MCP) servers, enabling seamless integration between LLM applications and various data sources and tools.

    TypeScript
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