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awesome-mcp-clients

repository·main·Indexed 27 days ago

https://github.com/punkpeye/awesome-mcp-clients

A curated list of Model Context Protocol (MCP) clients, including production-ready and experimental tools. The collection features a variety of AI agents, desktop applications, IDE extensions (VS Code, JetBrains), and CLI tools—such as Cline, Cursor, Cherry Studio, and Agent Bridge—that allow AI models to interact with external data and services via the MCP standard.

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What's inside awesome-mcp-clients

  2. Overview of OpenClaw

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    OpenClaw is a self-hosted, open-source AI agent (MIT license) written in Node.js and TypeScript. It connects to messaging platforms like WhatsApp, Telegram, and Discord, and supports the Model Context Protocol (MCP) for tool integration via a plugin ecosystem and automated workflows. It is available on Linux, Windows, MacOS, and Docker.

  3. Overview of Ano

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    Ano is a proprietary collaborative chat and workspace for developers (TypeScript, Rust, Swift). It functions as an MCP client, enabling users to run local CLIs, trigger custom automations, and connect to any MCP server directly from chat channels. It is available on macOS, Windows, Linux, and Web.

  4. Overview of Model Context Protocol (MCP)

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    The Model Context Protocol (MCP) is an open protocol designed to allow AI models to securely interact with both local and remote resources. It uses standardized server implementations to provide AI models with contextual services such as file access, database connections, and API integrations.

  6. Overview of AstrBot

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    AstrBot is an open-source (AGPL-3.0) LLM chatbot and development framework (Vue, Python) that supports multiple platforms including QQ, Telegram, and WeChat. It supports MCP servers, OpenAI, DeepSeek, Gemini, Ollama, and more, and includes a WebUI.

  7. Overview of Agent Bridge

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    Agent Bridge is a deployable, web-based agent platform (MIT license) for remote MCP servers. It is built with Python and Vue and features human-in-the-loop tool permissions, granular tool control, and a modern web interface for intelligent automation.

  9. Overview of 5ire

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    5ire is a cross-platform desktop AI assistant and MCP client (Modified Apache 2.0 for non-commercial use) written in TypeScript. It is compatible with major service providers and supports local knowledge bases and tools via MCP servers on Windows, MacOS, and Linux.

  10. Overview of AgentOne

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    AgentOne is a proprietary desktop AI agent application (TypeScript, Rust) that executes complex goals across various apps. It supports 600+ AI models, 2,000+ extensions (e.g., Gmail, Notion, Slack), and allows users to add their own MCP servers. It supports parallel agent execution and keeps data on-device by default.

  11. Integrate Slack with MCP using Slack MCP Client

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    The Slack MCP Client is a Go-based Slack bot that acts as a bridge between Slack and MCP servers. It allows LLM models to interact with MCP tools via the Slack interface.

    Supported MCP Modes:

    • SSE: For real-time communication.
    • HTTP transport: For JSON-RPC.
    • stdio: For local development and testing.

    Key Features:

    • Uses Socket Mode for secure, firewall-friendly communication.
    • Supports both channels and direct messages.
    • Dynamically registers and calls MCP tools.
    • Supports Docker containers.

  12. Use Taskade for AI agent orchestration and MCP

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    Taskade is an AI-native workspace platform that connects to MCP servers for project management and workflow automation.

    Key Features:

    • Connects to MCP servers, including Taskade's own official MCP server (which provides 50+ tools).
    • Custom AI agents with memory and knowledge bases.
    • Real-time multiplayer collaboration across Web, Desktop, Mobile, and Browser Extensions.