YouTube Music MCP Server

by mondweep

Integrations

  • Enables AI models to control YouTube Music through Google Chrome browser

  • Provides focused support for Chrome automation on macOS platform

  • Allows AI models to control YouTube Music playback, including searching for and playing songs based on song names and artist names

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.

-
security - not tested
A
license - permissive license
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

An MCP server that allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.

  1. Overview
    1. What is MCP?
      1. Features
        1. Architecture
          1. High-Level Overview
        2. youtube-music-server MCP Server
          1. Features
          2. Development
          3. Installation

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