gem-hunter

A curated list of awesome Model Context Protocol (MCP) clients.

• What is MCP?
• Community
• Clients
• Servers

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP clients that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

• r/mcp Reddit
• Discord Server

• Awesome MCP Clients
  • What is MCP?
  • Community
  • Clients
    • askit-mcp
    • eechat
    • 5ire
    • Agent Bridge
    • AgentOne
    • AIaW
    • Ano
    • AstrBot
    • Autohand Code CLI
    • AnythingLLM
    • BrowseWiz
    • Canvas MCP Client
    • CarrotAI
    • Chainlit
    • ChatMCP
    • Cherry Studio
    • Claude Desktop
    • Claude Code Open
    • ClaudeMind
    • Cline
    • console-chat-gpt
    • ContextKit
    • Copilot-MCP
    • Cursor
    • Continue
    • DeepChat
    • Dexto
    • DocsGPT
    • Dolphin-MCP
    • Fastchat MCP
    • Enola.dev
    • FLUJO
    • Goose
    • Glue
    • HyperChat
    • JDBCX
    • kibitz
    • LangBot
    • Klavis AI
    • Kiro
    • LibreChat
    • Lutra
    • mcp-agent
    • LobeHub
    • MCP Chatbot
    • MCP CLI client
    • MCPHost
    • MCP Playground
    • McPico
    • MCP Simple Slackbot
    • Memex
    • MCPOmni Connect
    • MCP SuperAssistant
    • Nerve
    • NextChat
    • Octomind
    • oterm
    • Slack MCP Client
    • Runbear
    • Superinterface
    • SeekChat
    • Simple AI
    • Tambo
    • Taskade
    • Tester MCP Client
    • Tiles Notebook
    • Tome
    • Vercade
    • VS Code GitHub Copilot
    • Windsurf
    • Witsy
    • Enconvo
    • y-cli
    • Yume
    • Zed
    • MindPal
    • WhatsMCP
    • Runbear
    • BoltAI
    • Argo-LocalAI
    • MCPCLIHost
    • AdaL
    • Agent-cli
    • Zin MCP Client
    • Qordinate
    • PraisonAI
  • Servers

OpenClaw is a powerful open-source AI agent that connects to multiple messaging platforms (WhatsApp, Telegram, Discord) and supports Model Context Protocol (MCP) for tool integration. It features a robust plugin ecosystem and automated workflows.

askit-mcp is a flexible asyncio Python library and CLI tool that allows various LLM models to extend their abilities by invoking services from Model Context Protocol (MCP) servers and by calling locally-defined Python functions..

pip install git+https://github.com/johnrobinsn/askit.git

An open-source, cross-platform desktop application that seamlessly connects with full support for MCP, across Linux, macOS, and Windows.

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.

A deployable web-based agent platform for remote MCP servers featuring human-in-the-loop tool permissions, enabling intelligent automation.

Key Features:

• Web Client: Modern interface
• Remote MCP Servers: Connectivity
• Scalability/Enterprise: Ready for business use
• Human-in-the-loop: Security/oversight
• Tool Permissions: Granular control

AgentOne is a fully-featured AI agent desktop app that takes a goal in plain language and carries it out end-to-end across your apps. It connects 600+ AI models from 20+ providers (OpenAI, Anthropic, Google, xAI, Mistral, Groq, Cerebras, and more) with 2,000+ extensions for apps like Gmail, Notion, Slack, GitHub, and Google Calendar, and supports user-added MCP servers for further extensibility. Multiple agents can run in parallel, your data stays on your device by default, and you can bring your own API keys with no markup.

Learn more on the website, docs, or blog. Get help on the forum.

AIaW is a cross-platform, full-featured and lightweight AI Chat client with full support for MCP.

Ano is a collaborative chat and workspace for devs that features a native in-app terminal and integrated AI (like Claude Code). It is built as an MCP client, allowing users to run local CLIs, trigger custom automations, and connect to any Model Context Protocol (MCP) server directly from their channels.

AstrBot is an Easy-to-use multi-platform LLM chatbot and development framework Platform supports QQ, QQ channel, Telegram, WeChat, Qiwei, Lark | MCP server, OpenAI, DeepSeek, Gemini, Silicon Flow, Dark Side of the Moon, Ollama, OneAPI, Dify, etc. Comes with WebUI.

Autohand Code CLI is a self-evolving autonomous coding agent with native MCP integration for external tool access. It supports 40+ built-in tools, multiple LLM providers (OpenRouter, Anthropic, OpenAI, Ollama), semantic code search, and a modular skills system, all from the terminal.

The all-in-one AI app you were looking for. Chat with your docs, use AI Agents, hyper-configurable, multi-user, & no frustrating set up required.

BrowseWiz is a customizable AI Chat, AI Assistant and AI Agent for browser's side panel. It is a flexible tool that can help automate your workflows.

Key Features:

• give AI access to contexts: files, active tab, YT video transcript, text selected on a page
• manage collection of prompts, add 1-click prompt buttons
• set and manage system instructions
• bring your own key or model (OpenAI API-compatible)
• add tools for agentic capabilities via webhooks/APIs + JSON schema or by providing MCP server URLs (supports streamable HTTP and SSE)

Canvas MCP Client is an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible, widget-based system.

Key Features:

• Infinite Canvas: Organize your workspace spatially with unlimited zoom and pan capabilities
• Modular Widgets: Use 12+ pre-built widgets or create your own custom components
• No-code Widget Builder: Use the widget builder to create your own widgets without coding
• MCP Integration: Seamlessly connect to multiple MCP servers using the FastMCP library
• AI-Powered: Configure multiple AI providers (OpenAI, Anthropic, Ollama, Google) for enhanced functionality
• Template System: Save and share widget and dashboard configurations

CarrotAI is an advanced AI agent application that enables real-time streaming chat using Server-Sent Events (SSE) and Streamable HTTP, with seamless integration of the Model Control Protocol (MCP). It supports concurrent connections to multiple SSE MCP servers and offers a multilingual user interface in English, Chinese, and Japanese.

Chainlit is a python framework to build conversational AI apps with support for MCP.

ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).

Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.

Feature:

• Multi-Model Support: Integrates cloud (OpenAI, Gemini, Anthropic), web AI (Claude, Perplexity), and local models (Ollama, LM Studio).
• AI Assistants: 300+ presets, custom creation, and multi-model parallel chats.
• Doc Processing: Handles text/images/Office/PDF, WebDAV, Mermaid, and code highlighting.
• Productivity: Global search, topic management, AI translation, drag-drop, mini-programs, and MCP server.
• UX: Cross-platform (Win/Mac/Linux), plug-and-play, light/dark themes, transparent UI, full Markdown, and easy sharing.

The Claude desktop app brings Claude's capabilities directly to your computer, allowing for seamless integration with your workflow.

Open-source AI coding platform based on Claude Code CLI with full MCP protocol support. Features a browser-based Web IDE with Monaco editor, 37+ built-in tools, Blueprint multi-agent orchestration system, and scheduled task daemon. Supports MCP server configuration and integration for extending AI capabilities through external tools and services.

Experience Claude AI without limits. Use our desktop app for everyday AI assistance, or boost your coding productivity with our JetBrains plugin.

Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.

Enjoy seamless interactions with ChatGPT, MistralAI, Claude by Anthropic, Grok by xAI, Gemini by Google and DeepSeek directly from your command line. Elevate your chat experience with efficiency and ease.

A CLI tool and MCP client for creating spec files for AI coding agents. ContextKit generates specs from reusable Jinja2-based templates, filling in context from various MCP sources and user input.

VSCode extension that acts as a Model Context Protocol (MCP) client, enabling integration between MCP servers and GitHub Copilot Chat

Cursor is an AI-first code editor fork of VS Code that helps you code faster with built-in chat, edit, and debugging AI features. It supports MCP for enhanced AI capabilities and tool integration.

Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains.

DeepChat is a cross-platform desktop AI assistant, MCP client. DeepChat brings the power of AI to your desktop with privacy and efficiency, making it your ideal companion for productive work.

Dexto is an open agent harness that ships with a production-ready coding agent and native MCP client support. It can connect to MCP servers for tools, resources, and prompts while also providing its own MCP tool packages (filesystem, process, task, plan).

DocsGPT is a privacy-focused, open-source AI platform designed to create intelligent agents and enterprise search solutions. As an MCP client, it enables agents to connect with external tools and APIs securely.

Dolphin-MCP is an open-source multi-server bridging client for MCP. It allows you to connect any MCP-compatible server any LLM (local or remote), enabling flexible tool usage and resource access in real-time.

pip install dolphin-mcp

Fastchat-mcp is a Python chat client designed to simplify connection to MCP servers through the httpstream or stdio transfer protocols. Its intuitive design allows easy configuration and management of connections to both public and private MCP servers with authentication, using a JSON-format configuration file.

This package offers a clean and accessible terminal interface, ideal for quick chat testing without requiring complex setups. Additionally, it includes a Chat module (class) intended for advanced and flexible development, which can be easily integrated into custom projects, providing greater control and adaptability to the developer’s needs.

pip install fastchat-mcp

Future versions are expected to include additional features such as voice systems, quick integrations with databases, built-in websocket support for frontend connections, among other useful functionalities. We invite you to follow this repository to stay updated on the latest news and improvements implemented.

Enola.dev is an agentic AI toolkit for various LLMs (incl. e.g. Google Gemini & Anthropic APIs; as well as thousands of local models via Ollama). It comes with a number of built-in tools, and MCP client support for external tools. It has several UIs:

• Chat Web UI, served by a built-in local HTTP web-server
• Chat CLI Textual User Interface (TUI) for the terminal (also available via a built-in SSH server)
• One-shot ai agent prompt CLI

It can also simply invoke (call) any MCP server's tools directly (without LLM).

Think n8n + ChatGPT. FLUJO is a desktop application that integrates with MCP to provide a workflow-builder interface for AI interactions. Built with Next.js and React, it supports both online and offline (ollama) models, it manages API Keys and environment variables centrally and can install MCP Servers from GitHub. FLUJO has a ChatCompletions endpoint and flows can be executed from other AI applications like Cline, Roo or Claude.

• Environment & API Key Management
• Model Management
• MCP Server Integration
• Workflow Orchestration
• Chat Interface

Goose is a general-purpose AI agent that can dynamically plug into new extensions and learn how to use them. It solves higher-level problems using tools from multiple extensions and can interact with multiple extensions at once.

Glue is a full-featured, thread-first team chat platform with a built-in AI agent and support for MCP, enabling teams to leverage intelligent tools and insights. Learn more.

HyperChat is an open Chat client that can use various LLM APIs to provide the best Chat experience and implement productivity tools through the MCP protocol.

JDBCX extends JDBC by providing enhanced support for data formats and compression, object mapping, advanced type conversion, multi-language query capabilities, and MCP support.

kibitiz is the free and open-source Replit. Minimally, it is a lightweight chat interface to the popular LLM APIs (Anthropic and OpenAI API formats supported). Experience automated tool loops: try asking your agent to use wcgw to make a change to a local repository, then fix linter and compiler errors, make a commit, and push to remote, all without user intervention! Even better, code on-the-go by setting up MCP servers on your laptop, then connecting from your mobile through Kinode.

LangBot is an open-source platform for creating LLM based instant messaging bots. It supports multi platforms like Discord, Telegram, WeChat, QQ. Currently supports LLMs from OpenAI, Anthropic, DeepSeek, Ollama, and more. And easy for users to create agents with MCP or plugins. Users can also customize their experience through WebUI, or create plugins to extend the functionality of the bot.

Klavis AI is building open-source infrastructure to make Model Context Protocols (MCPs) easy for everyone. We provide:

• 💬 Slack & Discord Clients: Run MCPs directly from your favorite messaging platforms
• ☁️ Hosted MCP Servers: Access powerful tools without infrastructure management
• 🎛️ Simple Web UI: Configure and manage everything with no coding required

Whether you're a non-technical user wanting to leverage AI workflows or a developer looking to build and scale MCPs, Klavis makes it simple.

Kiro is an AI assistant and IDE built to assist developers. Kiro helps you do your best work by bringing structure to AI coding with spec-driven development.

Enhanced ChatGPT Clone: Features Agents, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting.

Lutra is the first AI task agent that connects all your work apps. It is designed to turn your conversations into automated workflows. Lutra understands your goals and actions it can take, and it automatically determines how to work with your apps to get tasks done. After completing a task, you can create playbooks which save the steps as reusable automations. Lutra connects with MCP servers easily: you only need to provide the server URL and it does all the setup behind the scenes.

Chat and create automations:

Save playbooks:

mcp-agent is a simple, composable framework to build agents using Model Context Protocol.

Inspiration: Anthropic announced 2 foundational updates for AI application developers:

1. Model Context Protocol - a standardized interface to let any software be accessible to AI assistants via MCP servers.
2. Building Effective Agents - a seminal writeup on simple, composable patterns for building production-ready AI agents.

mcp-agent puts these two foundational pieces into an AI application framework:

1. It handles the pesky business of managing the lifecycle of MCP server connections so you don't have to.
2. It implements every pattern described in Building Effective Agents, and does so in a composable way, allowing you to chain these patterns together.
3. Bonus: It implements OpenAI's Swarm pattern for multi-agent orchestration, but in a model-agnostic way.

Modern AI chat framework with multi-model support: Features OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama, and 100+ AI models. Includes plugin system, knowledge base, text-to-speech, vision recognition, DALL-E image generation, function calling, multi-agent conversations, PWA support, mobile-responsive design, i18n localization, theme customization, and self-hosting capabilities. Built with Next.js for optimal performance and user experience.

This chatbot example demonstrates how to integrate the Model Context Protocol (MCP) into a simple CLI chatbot. The implementation showcases MCP's flexibility by supporting multiple tools through MCP servers and is compatible with any LLM provider that follows OpenAI API standards.

A simple CLI to run LLM prompt and implement MCP client.

MCPHost is a multi-server MCP client web application. It allows you to connect to multiple MCP servers simultaneously and manage your server configurations with persistence. Features include GitHub login for syncing server lists across devices and a streamlined interface for interacting with server tools, resources, and prompts.

MCP Playground is a comprehensive web-based MCP client for testing Claude and Gemini models with MCP server integration. Features dual AI provider support, advanced tool management with granular access control, custom system prompts, OAuth authentication, and real-time server monitoring. Perfect for testing MCP servers, comparing AI providers, and debugging tool implementations without writing code.

Key Features:

• Dual AI Support - Claude & Gemini models with seamless switching
• Smart Tool Control - Restrict which tools AI can access (all/selected/none)
• Custom System Prompts - Shape AI personality and behavior
• OAuth & Bearer Auth - Production-ready authentication support
• Real-time Testing - Live server monitoring and direct tool execution

A simple CLI to run LLM prompt, attach files, discuss with MCP servers. For multiple LLMs, including local models.

A simple Slack bot that uses LLMs and the Model Context Protocol (MCP) tools.

Memex is the first MCP client and MCP server builder in one desktop app. Unlike traditional MCP clients that only consume existing servers, Memex can create custom MCP servers from natural language prompts, immediately integrate them into its toolkit, and use them to solve problems—all within a single conversation.

Key MCP Features:

• Prompt-to-MCP Server: Generate fully functional MCP servers from natural language descriptions
• Self-Testing & Debugging: Autonomously test, debug, and improve created MCP servers
• Universal MCP Client: Works with any MCP server through intuitive, natural language integration
• Curated MCP Directory: Access to tested, one-click installable MCP servers (Neon, Netlify, GitHub, Context7, and more)
• Multi-Server Orchestration: Leverage multiple MCP servers simultaneously for complex workflows

This unique dual capability of creating AND consuming MCP tools makes Memex the most versatile all-in-one solution in the MCP ecosystem.

A powerful universal CLI client for MCP Servers that provides seamless integration with multiple protocols, AI models, and tools through an intelligent interface.

uv add mcpomni-connect or pip install mcpomni-connect