This Spotify MCP server implementation, developed by ashwanth1109, provides a comprehensive interface to control and interact with Spotify's music streaming service. It leverages the Spotipy library to offer a wide range of functionalities including playlist management, playback control, track searching, and user data retrieval. The server is designed to work seamlessly with Cursor Composer, enabling AI assistants to control Spotify playback, manage playlists, and access user listening data. It's particularly useful for creating voice-controlled music experiences, generating personalized playlists, and integrating Spotify functionality into AI-driven applications. The implementation focuses on ease of use and flexibility, supporting various Spotify API endpoints and offering detailed error handling for robust operation.
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Show the user's playlists.
Play a specific playlist by name.
Pause the currently playing song.
Resume playback of the currently paused song.
Retrieve information about the currently playing song.
Provide information about a specific artist and show popular tracks.
Show the user's top artists from the last 6 months.
Search for an artist by name.
Play a specific song by name.
Show the current playback queue.
Add a specific track to the user's queue.
Move a specific track up in the playback queue.
Set the current track to repeat.
Recommend tracks similar to the currently playing song.
Add a specific track to a specified playlist.
Seek to a specific position in the currently playing track.
View the detailed playback state of the player.
Skip multiple tracks in the playback queue.
