YouTube Music

Enables YouTube Music playback via Google Chrome, allowing voice-activated song selection and mood-based playlists without direct user interaction.

Installation Instructions

README: https://github.com/mondweep/youtube-music-mcp-server

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.

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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

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

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.