spotify-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables natural-language creation, management, and optimization of Spotify playlists via MCP tools like search, generate, analyze, and recommend.-
- FlicenseNot gradedqualityDmaintenanceEnables searching Spotify and managing playlists from any MCP client using natural language.-
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible AI assistants to control Spotify Premium accounts by searching music, managing playback and devices, handling queues, creating and editing playlists, and browsing or modifying the library.MIT
- AlicenseBqualityCmaintenanceAn MCP server that enables users to control Spotify playback, search music, and manage playlists through natural conversation. It is updated for the February 2026 Spotify Web API changes and supports full playlist CRUD operations.68MIT
- FlicenseBqualityDmaintenanceEnables creating and searching Spotify playlists through natural language using the Model Context Protocol.21-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to create, manage, and populate Spotify playlists using the Spotify Web API.3MIT
TDQS
Scored across 7 tools
Each tool targets a clearly distinct action: searching tracks, reading listening history, listing playlists, reading a playlist's contents, creating playlists, adding tracks, and removing tracks. The descriptions further reinforce boundaries, so an agent should not confuse them.
All tool names follow a consistent verb_noun snake_case pattern: search_tracks, get_my_taste, list_my_playlists, get_playlist, create_playlist, add_tracks, remove_tracks. There are no mixed conventions or vague verbs.
Seven tools is well-scoped for a Spotify playlist-management server. Each tool covers a necessary step in the core workflow without redundancy or bloat.
The playlist workflow is well covered: discover via search/taste, list/read playlists, create playlists, and add/remove tracks. Minor gaps like renaming or deleting playlists are missing, but they are not central to the apparent purpose.