Apple Music
Summary
This MCP implementation, developed by Kenneth Reitz, provides integration with Apple Music on macOS systems. Built with Python and leveraging AppleScript, it offers tools for controlling music playback, searching the library, creating playlists, and retrieving library information. The implementation focuses on providing a simple, standardized interface for AI-powered music control, enabling use cases such as voice-activated music playback, automated playlist generation, and music library analysis. By connecting AI models with the Apple Music application, this server allows for sophisticated music interaction scenarios, enhancing the ability to manage and enjoy music through AI assistants or custom applications.
Available Actions(8)
itunes_play
Start playback of the currently selected track.
itunes_pause
Pause playback of the currently playing track.
itunes_next
Skip to the next track in the playback queue.
itunes_previous
Go to the previous track in the playback queue.
itunes_search
Search the library for tracks matching the given query. Parameters: query (string)
itunes_play_song
Play a specific song from the library. Parameters: song (string)
itunes_create_playlist
Create a new playlist with the specified name and songs. Parameters: name (string), songs (list of strings)
itunes_library
Get statistics about the music library.
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