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youtube-music-mcp-server

MCP.Pizza Chef: mondweep

The youtube-music-mcp-server is an MCP server that enables AI models to control YouTube Music playback through Google Chrome. It allows AI assistants to search for songs by name and artist and play them directly, bridging AI interaction with music streaming. This server supports error handling, logging, and cross-platform usage, making it a practical tool for integrating music playback into AI workflows.

Use This MCP server To

Search YouTube Music for specific songs by name or artist Play selected songs directly in Google Chrome via AI commands Integrate music playback control into AI assistant workflows Automate playlist creation and song queuing through AI Log playback activity and errors for monitoring and debugging

README

YouTube Music MCP Server

Overview

This project implements a Model Context Protocol (MCP) server that enables AI models to control YouTube Music playback through Google Chrome. It bridges the gap between AI assistants and music playback, allowing AI to search for and play songs based on song names and artist names.

What is MCP?

The Model Context Protocol (MCP) is a standardized way for AI models to interact with external tools and services. It provides a structured communication protocol that allows AI assistants to:

  • Discover available tools
  • Understand tool capabilities
  • Execute actions through these tools
  • Handle responses and errors consistently

Learn more about MCP:

Features

  • Search YouTube Music for songs
  • Play songs directly in Google Chrome
  • Support for song name and artist name search
  • Error handling and logging
  • Cross-platform support (focused on macOS for Chrome automation)

Architecture

High-Level Overview

youtube-music-server MCP Server

A Model Context Protocol server

This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:

  • Resources representing text notes with URIs and metadata
  • Tools for creating new notes
  • Prompts for generating summaries of notes

Features

Resources

  • List and access notes via note:// URIs
  • Each note has a title, content and metadata
  • Plain text mime type for simple content access

Tools

  • create_note - Create new text notes
    • Takes title and content as required parameters
    • Stores note in server state

Prompts

  • summarize_notes - Generate a summary of all stored notes
    • Includes all note contents as embedded resources
    • Returns structured prompt for LLM summarization

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "youtube-music-server": {
      "command": "/path/to/youtube-music-server/build/index.js"
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

youtube-music-mcp-server FAQ

How does the youtube-music-mcp-server control music playback?
It uses Google Chrome to play songs on YouTube Music based on AI model commands.
Can this server search for songs by both song name and artist?
Yes, it supports searching by song name and artist name for precise playback.
Is the youtube-music-mcp-server cross-platform?
Yes, it is designed to work across different operating systems where Google Chrome is available.
How does error handling work in this MCP server?
The server includes error handling and logging to manage playback issues and provide feedback.
What MCP clients can I use with this server?
It can be used with MCP clients like Cline in Visual Studio Code and other compatible clients.
Does this server require any special setup for Google Chrome?
It requires Google Chrome to be installed and accessible for playback control.
Can this MCP server be integrated into custom AI workflows?
Yes, it is designed to be integrated into AI workflows that need music playback capabilities.
Where can I find more information about MCP?
Visit the MCP documentation and SDK on GitHub for detailed protocol and integration guides.