spotify-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables Claude to control Spotify features including playback control, playlist management, search, and accessing user's listening history and preferences through the Spotify API.1-
- FlicenseDqualityDmaintenanceEnables Claude to interact with Spotify by searching songs, creating playlists, getting recommendations, and managing your music through your Spotify account.73-
- AlicenseAqualityCmaintenanceEnables Claude to control Spotify playback, search tracks/albums/artists/playlists, and manage the queue via the Spotify API.6MIT
- AlicenseNot gradedqualityNot gradedmaintenanceConnects Claude to Spotify for music discovery, playlist creation, and collection analysis through natural language. Enables searching songs, analyzing music diversity, creating playlists, and getting recommendations using Spotify's API.-
- AlicenseNot gradedqualityDmaintenanceConnects Claude to Spotify, enabling play control, playlist management, lyrics retrieval, and music recommendations through natural language.1MIT
- AlicenseBqualityBmaintenanceEnables you to manage your personal Spotify library from Claude or a CLI, including organizing playlists, merging and deleting playlists, saving tracks, searching with artist verification, and querying top tracks, artists, and recently played items.27MIT
TDQS
Scored across 35 tools
Most tools target a distinct resource/action, and descriptions carefully separate near-misses like get_playlist vs get_playlist_items and get_top_artists vs top_local. A few analytics tools (dropped_artists, taste_drift, rediscover_tracks) share a similar 'what did I stop listening to' concept, but their time-window semantics are clearly differentiated.
Reads consistently use get_* and playlist mutations use verb_* patterns, but the analytics block mixes noun phrases like listening_summary, skip_stats, top_local, taste_drift, and dropped_artists. The naming is readable and grouped by domain, but it is not a single predictable convention.
35 tools is well past the heavy range and creates a large selection surface for agents, even though the set is organized into Spotify reads, playlist writes, and local analytics. Some tools also overlap or subsume others, e.g., build_playlist_from_candidates wraps resolve + create + add, and query_listening_history could replace several named analytics tools.
Core workflows are well covered: catalog lookup, library inspection, full playlist lifecycle, and a rich local analytics layer with an SQL escape hatch. The main gaps are playback control (play/pause/skip/seek) and library removal operations (unsave tracks/albums, unfollow artists), which are secondary to this server's data-and-playlist-management focus.