Trae is an intelligent integrated development environment (IDE) designed to enable human-machine collaboration through natural conversations, helping users maximize work efficiency and performance. Its powerful AI agent system and real-time code auto-completion feature significantly enhance developers' productivity.

Cherry Studio is a desktop client that supports multiple large language model (LLM) providers. It is compatible with Windows, Mac, and Linux, aiming to provide users with convenient AI assistants and various data processing functions.

The Claude desktop application brings Claude's capabilities directly to your computer, enabling seamless integration with your workflow.

Cursor is an AI code editor designed specifically for programmers, aiming to improve programming efficiency. It supports multiple programming languages and has intelligent prompt and auto - completion functions.

ChatWise is a fast AI chatbot that supports multiple large language models, has multimodal capabilities, and ensures user data privacy.

VS Code integrates MCP with GitHub Copilot through the proxy mode, allowing direct interaction with the tools provided by MCP in the proxy coding workflow.

Cline is a powerful AI assistant integrated into the development environment. It can create and edit files, execute commands, use the browser, etc., helping developers efficiently complete software development tasks.

The first Agentic IDE, taking it to the next level. The Windsurf Editor truly integrates the collaboration between developers and AI, bringing a magical coding experience.

5ire is an open-source, cross-platform desktop AI assistant and MCP client that supports local knowledge bases and custom prompt libraries. Through the MCP protocol, it enables standardized connections with various data sources and tools, supports the parsing and vectorization of multiple document formats, and provides powerful retrieval-augmented generation capabilities. Users can track API usage, manage and organize prompts, bookmark conversation content, and conduct keyword searches. This project is completely free, and users are encouraged to provide feedback and support.

ChatMCP is a cross - platform AI chat client. This application implements the Model Context Protocol (MCP) and aims to provide a convenient chat experience. Users can communicate with different MCP servers by configuring the LLM API key and endpoint. ChatMCP offers features such as automatic installation of MCP servers, support for SSE MCP transmission, chat history, and a variety of LLM models (e.g., OpenAI, Claude, OLLama, and DeepSeek). In addition, the application has a user - friendly interface that supports both dark and light themes, ensuring a comfortable experience for users during use.

NextChat is a lightweight and fast artificial intelligence assistant that supports multiple platforms, including Web, iOS, MacOS, Android, Linux, and Windows. This product is committed to providing users with an efficient conversation experience while taking privacy protection and data security into account.

FLUJO is an open-source platform designed to simplify the processes of workflow orchestration, Model Context Protocol (MCP), and artificial intelligence tool integration. It provides a unified interface that allows users to conveniently manage AI models, MCP servers, and complex workflows, all of which can be done locally.

A small command-line interface chat application that brings AI conversations to your terminal. Features include: storing chat data in JSONL files; an interactive chat interface; support for multiple robot configurations compatible with the OpenAI chat completion stream format; support for Deepseek-r1 inference content; and an MCP client that supports multiple server configurations.

Witsy is an AI desktop assistant that supports models from all major providers with just one keyboard shortcut!

Continue is an open-source IDE extension that allows developers to create, share, and use custom AI code assistants. It provides various building blocks such as models, rules, and prompts, and is compatible with VS Code and JetBrains.

Goose is a local open-source AI assistant that can automate complex development tasks, from project construction to debugging and API interaction, adapting to developers' workflows.

Cody uses the latest LLMs and all development environments to help you understand, write, and fix code faster.

LibreChat is an enhanced ChatGPT clone product that aims to provide the integration of multiple AI models and the function of customizing assistants. Users can easily create, manage, and use multiple AI-driven assistants. Its user interface design is inspired by ChatGPT, but with more features and optimizations to make the user experience smoother.

console-chat-gpt is a command-line-based tool that supports seamless interaction with multiple artificial intelligence models (such as OpenAI, MistralAI, etc.), providing user-friendly and customizable chat experiences.

Kibitz is a coding assistant designed for professionals, aiming to enhance development efficiency and collaboration experience. By integrating various functions, it helps users better manage and configure their projects, making the coding process smoother. Kibitz has a user - friendly interface, allowing users to easily set up and adjust their working environment to meet the needs of different projects.

Zed is a high-performance, multi-user code editor developed by the creators of Atom and Tree-sitter.

Chainlit is an open-source platform maintained by Literal AI, aiming to help developers quickly build production-grade conversational AI applications. It supports Python and TypeScript and provides easy-to-use tools and features.

HyperChat is an open-source chat client dedicated to achieving openness. It supports the APIs of multiple large language models (LLMs) to provide the best chat experience and implements productivity tools through the MCP protocol. This application supports multiple platforms (Windows, MacOS, and Linux) and can be run via the command line and Docker. Users can access it through the web interface, which is convenient and fast.

This product is a simple command-line tool designed to conveniently run prompts for large language models (LLMs) through the terminal and implement a Model Context Protocol (MCP) client. Users can use any MCP-compatible server as an alternative client to Claude Desktop.

Superinterface is an AI infrastructure and developer platform for building in-app AI assistants, supporting MCP, interactive components, client function calls, etc.

A modern voice-controlled AI interface powered by Google Gemini and Anthropic MCP (Model Control Protocol). Revolutionize the way you interact with AI through natural voice and multimodal inputs.

A client that uses Server-Sent Events (SSE) to connect to any MCP server and displays conversations in a chat-like UI. It is a standalone Apify Actor used to test MCP servers via SSE and supports authorization headers. It is built using pure JavaScript (traditional style) and hosted on Apify, and can run without any setup.

This project is a simple command-line interface (CLI) chatbot designed to demonstrate how to integrate the Model Context Protocol (MCP) into a chat application. This implementation showcases the flexibility of MCP, supporting the integration of multiple tools through an MCP server and being compatible with any language model provider that adheres to the OpenAI API standard.

NitroRCr/AIaW is a lightweight and fully functional AI client that supports multiple workspaces and a plugin system. It is suitable for Windows, Linux, Mac OS, Android, and the Web, offering local-first storage and real-time cloud synchronization.

MCPOmni Connect is a powerful Command Line Interface (CLI) client designed to seamlessly connect to various Model Context Protocol (MCP) servers. It supports multiple transport protocols, including Standard Input/Output (stdio) and Server-Sent Events (SSE), and can integrate with multiple artificial intelligence models.

DeepChat is a powerful open-source multi-model AI chat platform designed to provide users with a unified interface to interact with various large language models. Whether using cloud APIs such as those from OpenAI, Gemini, and Anthropic, or locally deployed Ollama models, DeepChat offers a smooth user experience.

This simple MCP Slack bot is an intelligent assistant integrated with the Model Context Protocol (MCP), aiming to enhance the interaction ability with external tools. By using advanced language model technology, it can provide intelligent responses in Slack channels and direct messages, offering efficient user support. Users only need to create a Slack application, install dependencies, and configure environment variables to easily start and run this bot.

Copilot MCP is a powerful VSCode extension that allows users to seamlessly connect to and manage open - source MCP servers, enhance the functionality of GitHub Copilot Chat, and support the flexible integration of multiple AI tools.

SeekChat supports the execution of MCP tools, enabling AI to directly control your computer and perform various tasks. Easily automate operations such as file management, data analysis, and code development, making AI a truly intelligent assistant.

Dolphin MCP is a flexible Python library and command-line tool that allows users to connect to multiple MCP servers simultaneously and access and process data using different language models (such as OpenAI, Anthropic, Ollama, and LMStudio). It provides an intuitive conversational interface for users to query and manipulate data.

A terminal client for Ollama, supporting MCP servers.

Nerve is a simple yet powerful Agent Development Kit (ADK) designed to assist users in building, running, evaluating, and orchestrating agents based on large language models. It offers a programmable, auditable, and reproducible automation solution through the use of YAML files and a command-line interface, making it particularly suitable for technical users.