This repository is a curated list of Model Context Protocol (MCP) clients, designed for developers and AI enthusiasts looking to extend AI model capabilities. It showcases a wide range of applications that enable secure interaction with local and remote resources like files, databases, and APIs through standardized server implementations.

How It Works

MCP clients leverage a protocol that standardizes how AI models access and utilize external resources. This allows AI agents to go beyond simple text generation by integrating with real-world data and functionalities, enhancing their utility for complex tasks. The clients listed offer various interfaces, from desktop applications and web apps to CLI tools and IDE extensions, all facilitating this resource integration.

Quick Start & Requirements

Installation and usage vary significantly by client. Many clients are cross-platform (Windows, macOS, Linux) and often built with TypeScript, Python, or Rust. Specific prerequisites like Node.js, Python versions, or IDEs (VS Code, JetBrains) are common. Detailed setup instructions and links to official documentation are provided for each listed client.

Highlighted Details

• Broad Ecosystem: Features a diverse collection of clients, including desktop apps (eechat, 5ire, Cursor), web apps (AIaW, Chainlit), CLI tools (console-chat-gpt, dolphin-mcp), and IDE extensions (Cline, Copilot-MCP).
• MCP Integration: All clients support the Model Context Protocol, enabling AI models to interact with external tools and data.
• Cross-Platform Support: Many clients are explicitly designed for Windows, macOS, and Linux.
• Varied Functionality: Clients offer features like local LLM support, multi-model integration, document processing, and agentic workflows.

Maintenance & Community

This is a community-driven list, with contributions from various individuals and organizations. Links to community resources like Reddit and Discord are provided for specific projects.

Licensing & Compatibility

Licenses range from permissive (MIT, Apache 2.0) to proprietary. Some clients, like 5ire, have non-commercial restrictions. Users should carefully review individual licenses for compatibility with commercial or closed-source projects.

Limitations & Caveats

The list is a curated collection, and the maturity and stability of individual clients vary. Some projects are experimental, while others are production-ready. Users should consult the specific repository for each client for detailed information on limitations, known issues, and development status.