About YouTube Music MCP Server
YouTube Music MCP Server is an MCP server that lets AI models search for and play songs on YouTube Music through Google Chrome. It searches by song or artist name and focuses on Chrome automation on macOS.
Key features
- 01Search YouTube Music by song or artist name
- 02Play songs directly in Google Chrome
- 03Error handling and logging included
- 04Primary support for Chrome automation on macOS
Use cases
- 01Requesting songs to play from Cline in VS Code
- 02Letting an AI assistant change the music on request
MCP support
This project is an MCP server that exposes song search and playback to AI models.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEYouTube 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.