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Create mood playlists and discover similar songs using Spotify audio features.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP PLAYLIST SERVER" yet — see the docs or source repo.
Create a 20-track workout playlist based on high energy and fast tempo for running, and explain why each song was selected.
A workout-friendly track list with selection reasons based on audio features.
Using this song as the reference, find 10 songs with similar style, tempo, and mood, then rank them by similarity.
A ranked list of similar songs with brief notes on the matching attributes.
Analyze this playlist’s audio feature distribution, including energy, danceability, tempo, and mood progression, and provide optimization suggestions.
An overview of the playlist’s characteristics plus suggestions to improve flow or mood consistency.
Search music, control playback, and plan playlists through a local-first Spotify MCP server.
Connect AI to Spotify for music search, playback control, and track metadata.
Connect AI to Spotify for playback control, music search, playlists, and insights.
Let AI assistants control Spotify playback, manage playlists, and search music.
Manage YouTube Music playlists and get song suggestions through conversation.
Connect Spotify playback, search, and library controls to AI agents.