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.
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Start playback of the current track.
Pause playback of the current track.
Skip to the next track in the playback queue.
Go to the previous track in the playback queue.
Search the library for tracks using a query string.
Play a specific song from the library. Parameters: song (string)
Create a new playlist with a specified name and a list of songs. Parameters: name (string), songs (list of strings)
Get statistics about the library.
