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🚀 MCP Dockmaster

@dcSpark

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About 🚀 MCP Dockmaster

MCP Dockmaster allows you to easily install and manage MCP servers. Available for Mac, Windows and Linux as a Desktop App, CLI and a library.

#crypto#tools#ai#mcp

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-dockmaster": {
      "command": "npx",
      "args": [
        "nx",
        "serve",
        "mcp-dockmaster"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is 🚀 MCP Dockmaster?

MCP Dockmaster is an AI tool manager that installs, manages, and connects Model Context Protocol (MCP) servers to AI assistants like Claude. It acts as an App Store for AI tools, offering one-click installation and automatic integration across Mac, Windows, and Linux via a desktop app, CLI, or library.

How to use 🚀 MCP Dockmaster?

Download the desktop app from mcp-dockmaster.com, install, and launch it. Browse the AI Tool Store, install an MCP server, then follow the integration steps to connect with Claude, Cursor, or other supported apps. For developers, clone the repo, run npm ci, and start with npx nx serve mcp-dockmaster.

Key features of 🚀 MCP Dockmaster

  • Curated AI Tool Marketplace for MCP servers
  • One-click install, update, and removal of AI tools
  • Modern desktop interface built with Tauri + React
  • Rust-powered backend for blazing performance
  • Supports Node.js, Python, and Docker-based MCP servers
  • Advanced configuration options for power users

Use cases of 🚀 MCP Dockmaster

  • Discover and install MCP servers to extend AI assistant capabilities
  • Manage multiple AI tools from a single, intuitive interface
  • Automatically integrate MCP servers with Claude and other AI assistants
  • Develop, test, and share custom MCP servers with the community

FAQ from 🚀 MCP Dockmaster

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Comments

Basic information

Category

Developer Tools

License

MIT

Transports

stdio

Author

dcSpark

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