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Spotify

AllensybyAllensy
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3
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Developer Tools
Productivity & Workflow
Data Science & ML

Transforms Spotify playback, search, and playlist actions into accessible Model Context Protocol (MCP) tools for AI clients.

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Serve as a Docker-ready Model Context Protocol (MCP) server, converting Spotify's extensive playback, search, and library management functionalities into accessible MCP tools. Powered by Spotipy, this server enables AI clients like Claude Desktop or Cursor to control Spotify playback, search for tracks, manage playlists, and query library information programmatically, all while securely handling Spotify API credentials via environment variables.

Key Features

01Control Spotify playback (play, pause, next/previous track)
02Play songs by name or Spotify ID/URI
03List and manage user playlists and liked songs
042 GitHub stars
05Search tracks, albums, artists, or playlists by query
06Retrieve currently playing track information

Use Cases

01Control Spotify music playback through AI-driven commands
02Integrate Spotify library management into AI-powered workflows
03Automate music discovery and playlist curation using MCP clients