What is Music Assistant MCP Server?

Music Assistant MCP Server enables AI assistants to interact with and control your Music Assistant instance. It allows you to manage your music library, players, queues, and playlists using natural language commands.

Which AI assistants or platforms are compatible?

The server supports the Model Context Protocol (MCP) and can run in stdio mode for AI assistants like Claude Desktop/Code, or in HTTP mode for integration with web clients and other AI platforms that can communicate via HTTP requests.

What specific music functionalities can I control with AI?

You can perform comprehensive searches and browsing across all providers, control player playback (play, pause, volume, announcements), manage queues (shuffle, repeat, transfer), create and modify playlists, and add/remove items from your music library favorites.

What are the prerequisites for setting up Music Assistant MCP Server?

You need Python 3.12+, a running Music Assistant server (version 2.0+), and a long-lived access token obtained from your Music Assistant UI settings. Installation is typically done via pip.

Music Assistant

Name: Music Assistant
Author: jakekeeys

byjakekeeys

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Desarrollo de API

Enables AI assistants to interact with and control Music Assistant for music library, player, queue, and playlist management.

Music Assistant is an MCP (Model Context Protocol) server designed to bridge AI assistants with Music Assistant, a comprehensive music server. It empowers users to control their entire music experience—from managing their library and playlists to orchestrating player and queue functions—using natural language commands. Built on FastMCP, this server provides a rich set of 46 tools covering search, browsing, player control, queue management, playlist manipulation, and favorites, making advanced music automation accessible through conversational AI.

Características Principales

01Comprehensive music library search and browsing across all providers

02Playlist creation, modification, and track management

03Advanced player control including playback, volume, and announcements

040 GitHub stars

05Full queue management capabilities like shuffling, repeating, and transferring between players

06Add and remove items from your music library favorites

Casos de Uso

01Searching for music, browsing library content, and adding tracks to playlists or favorites through conversational interfaces

02Controlling music playback and volume on specific players using natural language commands

03Managing music queues, including shuffling, repeating, and transferring between audio devices via AI