返回 MCP 目录
public公开dns本地运行

MCP 船坞大师

MCP 船坞大师是一个基于模型上下文协议(MCP)的 AI 工具管理器,旨在简化和增强用户与 AI 助手(如 Claude)的互动。它提供了一个 AI 工具应用商店,用户可以一键安装、管理和更新 MCP 服务器,并与兼容的 AI 助手无缝集成。该工具支持多平台(Mac、Windows、Linux),具有零配置、极速性能和通用兼容性等特点。MCP 船坞大师还提供高级配置选项,适合开发者和高级用户使用。通过其直观的界面和强大的功能,MCP 船坞大师能够显著提升 AI 工作流程的效率。

article

README

🚀 MCP Dockmaster

The Ultimate AI Tool Manager - Install, manage, and supercharge your AI assistants with the power of Model Context Protocol (MCP)

Demo Video

✨ What is MCP Dockmaster?

MCP Dockmaster transforms how you work with AI assistants like Claude by giving them superpowers through Model Context Protocol (MCP) servers. Think of it as an App Store for AI tools that seamlessly integrates with your favorite AI assistants.

🎯 One-Click Installation → Browse, install, and manage MCP servers
🔗 Auto-Integration → Automatically connects with Claude and other MCP-compatible AI assistants
🌐 Multi-Platform → Available as Desktop App, CLI, and library for Mac, Windows, and Linux
Zero Config → Works out of the box with automatic setup and updates

🔥 Key Features

  • 🛍️ AI Tool Marketplace - Discover and install powerful MCP servers from our curated store
  • 🔧 Smart Management - Install, update, and remove AI tools with a simple click
  • 🎨 Beautiful Interface - Modern, intuitive desktop app built with Tauri + React
  • 🚀 Lightning Fast - Rust-powered backend for blazing performance
  • 🔌 Universal Compatibility - Supports Node.js, Python, and Docker-based AI tools
  • ⚙️ Advanced Configuration - Fine-tune settings for power users

🎬 See It In Action

📺 Watch Demo Video

Experience how MCP Dockmaster transforms your AI workflow in under 2 minutes!

🚀 Quick Start

💻 Desktop App (Recommended)

  1. Download the latest release for your platform from mcp-dockmaster.com
  2. Install and launch MCP Dockmaster
  3. Browse the AI Tool Store and install your first MCP server
  4. Integrate Follow the integration steps at home to connect the app with Claude, Cursor, or any other supported app—and enjoy you AI with superpowers!

🔨 Development Setup

Want to contribute or run from source? Here's how:

Prerequisites

  • Node.js v18+
  • Rust (for Tauri development)
  • Git

Get Started

# Clone the repository
git clone https://github.com/your-username/mcp-dockmaster.git
cd mcp-dockmaster

# Install dependencies
npm ci

# Start the desktop app in development mode
npx nx serve mcp-dockmaster

Available Commands

# 🖥️ Desktop App Development
npx nx serve mcp-dockmaster               # Start desktop app with hot reload

# 🧪 Testing & Quality
npx nx run-many -t test                   # Run all tests

🏗️ Architecture

MCP Dockmaster is built as a modern monorepo with multiple specialized applications:

📦 mcp-dockmaster/
├── 🖥️ apps/mcp-dockmaster/        # Main desktop app (Tauri + React)
├── 💻 apps/mcp-dockmaster-cli/    # Command-line interface  
├── 🔄 apps/mcp-proxy-server/      # MCP proxy server
├── 🌐 apps/mcp-server-hello-world/ # Example MCP server
└── 📚 libs/mcp-core/              # Shared Rust libraries

🤝 Contributing

We love contributions! Whether you're:

  • 🐛 Reporting bugs
  • 💡 Suggesting features
  • 📝 Improving documentation
  • 🔧 Writing code

Check out our Contributing Guide to get started!

📖 Learn More

📄 License

This project is licensed under the MIT License - see the file for details.


⭐ Star this repo if MCP Dockmaster powers up your AI workflow!

Made with ❤️ by the MCP Dockmaster team

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端