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).

📦 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.

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.

Adapter project allowing Mistral models to interact with the modelcontextprotocol for standardized agentic capabilities.

Postman’s MCP client simplifies the development and testing of Model Context Protocol (MCP) servers. MCP provides a standardized way for LLMs and agentic frameworks to interact with APIs by wrapping tools, prompts, and resources in a consistent format across transports like STDIO, SSE, and streamable HTTP. The Postman MCP client builds on this foundation by offering a streamlined interface for sending requests, debugging issues, validating tool configurations, and inspecting responses—making it easier for developers to build reliable, interoperable MCP servers.

MCP CLIENT using python sdk.

Cursor Model Context Protocol (MCP) extension for Chrome - with comprehensive test coverage

A powerful VSCode extension that enables MCP server usage in Copilot, giving it access to MCP tools, resources, and more.

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

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

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。

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?

AI Coding can help developers use the services of AI providers (such as OpenAI/Claude/Baidu/Google) more conveniently, improving development efficiency.

AI Search Engine

TeamSpark AI Workbench is a powerful desktop and command line client application designed for building intelligent AI agents that can solve complex problems using various AI models from providers like Anthropic, OpenAI, Google, AWS Bedrock, and Ollama.

It shows how to use model-context-protocol.

Unlock MCP for your whole team in Slack with a single install. Unlike most MCP clients, Runbear enables multiple users to utilize MCP servers with only one Slack installation. You can build Slack bots and connect any MCP services along side with built-in 2,000+ MCP servers with just clicks.

A magical tool for using local LLMs with MCP servers

一款基于 langchain + electron开发的多平台桌面端 Chat 客户端 支持本地知识库，tool调用，多个智能agent调用 目标尽量实现全离线本地可执行的智能agent

MCP Client Chatbot is a chat interface that allows you to easily utilize various AI providers (OpenAI,Anthropic, Google, Ollama, etc.) while connecting powerful AI tools through MCP

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.