MCP Clients

Visual Studio Code

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

A Tiny Terminal Chat App for AI Models with MCP Client Support

The new purpose-built IDE to harness magic

The second fastest AI chatbot™

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.

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 .

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Roo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.

🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.

A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.

Your AI Partner on Desktop

The AI Code Editor

Enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests

Open-source AI Agent for VS Code and JetBrains that autonomously solves coding tasks end-to-end.

Lutra is the first MCP compatible client built for everyone

Call MCP Server Tools Online

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

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

Desktop AI Agent builder supports for local/remote LLMs, RAG, MCP

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

PR Reviewer is a tool designed to analyze GitHub pull requests and create detailed reports in Notion. It leverages the MCP (Model Context Protocol) to facilitate communication and integration between different services.

HistorIQ 是一個基於模型上下文協議（Model Context Protocol, MCP）架構的 AI 歷史小說平台。整合了 RAG（Retrieval-Augmented Generation）、AI Agent、與本地部署的大語言模型（LLM），讓使用者能夠以自然語言提問歷史事件、人物與文化主題，系統則透過多階段推理與知識檢索生成具脈絡性的回答。

Simple example client demonstrating how to connect to MCP servers over HTTP (SSE)

AingDesk是一款简单好用的AI助手，支持知识库、模型API、分享、联网搜索、智能体，它还在飞快成长中。 AingDesk is a simple and easy-to-use AI assistant that supports knowledge bases, model APIs, sharing, internet search, and intelligent agents. It is still growing rapidly.

Enable AI Agents to Control Unity

A FastAPI-based application that provides a web interface for interacting with Multiple Control Protocol (MCP) servers while utilizing OpenAI's API for processing messages.

Quick Start MCP with Langchain

Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

🌟 Wiki of OI / ICPC for LLMs. （面向大模型的某大型游戏线上攻略，内含炫酷算术魔法）

An Electron-based desktop application that integrates with the Rijksmuseum MCP server using the Model Context Protocol (MCP). This client enables AI-powered interactions with the Rijksmuseum's art collection through a chat interface.

MCP Video & Audio Text Extraction Server A Model Context Protocol (MCP) server that enables text extraction from various video platforms and audio files, allowing compatible host applications (like Claude Desktop, Cursor) to access video content and perform text transcription. What is it? MCP Video & Audio Text Extraction Server is a Model Context Protocol (MCP) server that can download videos from various platforms, extract audio, and convert it to text. The server utilizes OpenAI's Whisper model for high-quality audio-to-text conversion. How to use it? Clone the repository and install dependencies Ensure FFmpeg is installed Run the server Configure your MCP host application (like Claude Desktop) to use the server Key Features Support video downloads from multiple platforms including YouTube, Bilibili, TikTok, etc. Extract audio content from videos High-quality speech recognition using Whisper model Multi-language text recognition support Asynchronous processing for large files Standardized MCP tools interface Use Cases Provide text transcription capabilities for applications that need to process video content Batch process video content and extract text information Create custom applications requiring audio/video text extraction functionality Enable AI assistants to understand video content FAQ What are the system requirements to run the server? > Requires Python 3.9+, FFmpeg, minimum 8GB RAM, GPU acceleration recommended What should I know about first run? > The system will automatically download the Whisper model file (approximately 1GB), which may take several minutes to tens of minutes What audio formats are supported? > Supports common audio formats including mp3, wav, m4a, etc. This description maintains the core information from the original README while adopting a similar structure and style to the reference page. Would you like me to adjust or add anything to this description?

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.