Spotify Play Count MCP
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- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to look up Spotify track play counts, artist monthly listeners, charts, albums, playlists, search results, ISRCs, genres, moods, and BPM through MCP tools.MIT
- AlicenseBqualityDmaintenanceEnables AI agents to access public Spotify data (tracks, albums, artists, playlists, podcasts) without an API key, including lyrics and podcast transcripts with optional login.282,984 PyPI323MIT
- AlicenseAqualityBmaintenanceLets AI assistants answer questions about your Spotify listening history, including taste evolution, top artists, recently played, and playlist analysis.864 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to control Spotify playback, search music, manage playlists and library, and access user listening insights via the Spotify Web API.-
- AlicenseAqualityBmaintenanceEnables AI assistants to control Spotify playback, manage playlists, and plan DJ sets using BPM, key, and energy data.37MIT
- FlicenseAqualityDmaintenanceEnables AI assistants to control Spotify playback, search for music, manage playlists, and access library information through the Spotify API. Requires Spotify Premium for playback control features.4-
TDQS
Scored across 1 tool
With only one tool exposed, there is no possibility of tool-to-tool confusion or misselection. An agent always knows exactly which tool to call for Spotify play-count data.
The name 'publicrecords--spotify-play-count-scraper' uses kebab-case with a vendor prefix and double hyphen, and describes an object rather than following a verb_noun pattern. There is no inconsistency to speak of with a single tool, but the convention is not the predictable action-oriented style an agent might expect.
A single tool is thin even for a narrow, single-purpose scraper wrapper, and it forces all queries (track, album, artist, playlist) through one monolithic entry point. The tool itself is substantial, but the surface is minimal rather than well-scoped across a few focused operations.
The tool covers the stated domain well: per-track play counts across tracks/albums/artists/playlists plus monthly listeners, followers, rank, cities, and optional stream history. Gaps exist around search/link resolution and historical export beyond the run's dataset paging, and private Spotify for Artists data is explicitly out of scope.