spotify-mcp
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- AlicenseNot gradedqualityAmaintenanceExposes Spotify search, playlist, library, discovery, and playback tools to AI assistants over MCP Streamable HTTP. Supports Spotify OAuth, multi-client MCP OAuth with PKCE and dynamic client registration, encrypted token storage, and self-hosted Docker deployment.1AGPL 3.0
- AlicenseNot gradedqualityCmaintenanceLocal STDIO MCP server for safely curating Spotify playlists with a plan/apply workflow, allowlist-based write protection, and authentication status checks.MIT
- AlicenseAqualityCmaintenanceMCP server to control Spotify conversationally from Claude, Cursor, and other AI clients.1187 npmMIT
- FlicenseAqualityDmaintenanceA lightweight MCP server that enables AI assistants like Cursor and Claude to control Spotify playback, playlists, and manage tokens via OAuth.152-
- FlicenseNot gradedqualityDmaintenanceA FastMCP server that exposes Spotify's catalog and user context as tools for Claude, enabling track search, audio features, artist discography, recommendations, currently playing, and playlist creation.-
- FlicenseAqualityCmaintenanceA FastMCP server that enables searching tracks, controlling playback (play, pause, skip), and retrieving currently playing content on Spotify via PKCE authentication.9-
TDQS
Scored across 53 tools
Most tools have clear resource+action pairs, but the audio-analysis group (compare, features, audit) and the two search tools (search, podcast_discover) have overlapping responsibilities that could cause misselection. The sampling tool for liked songs also blurs with the paginated saved_tracks tool.
All tools use a consistent lowercase snake_case verb_noun pattern with the spotify_ prefix (e.g., spotify_play, spotify_pause, spotify_playlist_create). Even the DJ and podcast subdomains follow the same convention, making naming predictable.
With 53 tools, the surface is extreme for an MCP server, even for a broad domain like Spotify. The count far exceeds the 25+ threshold and makes the set overwhelming, risking agent confusion and excessive selection overhead.
The server covers most major Spotify workflows: library management, playback control, playlists, podcast/saved episodes, and audio analysis. However, there is no direct tool for fetching a single track or artist details, leaving minor gaps in basic metadata retrieval.