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Spotify

Official

by jamiew ยท Python

MCP server connecting LLMs to Spotify, with smart-batching and large-playlist tools

A MCP server that connects LLMs to Spotify, featuring smart batching and advanced playlist tools. This server enables playback control, search, real-time state, and resource reads, optimized for API efficiency and large playlists.

๐Ÿ› ๏ธ Key Features

  • Playback Control: start, pause, skip tracks, manage queue
  • Search & Discovery: track, album, artist, and playlist search with pagination
  • Real-time State: live user profile and playback status
  • Resource Reads: access user, playback, track, playlist, artist, and album state by URI
  • Smart Batching: optimized API usage for throughput and efficiency
  • Large-Playlist Tools: enhanced handling for extensive playlists

๐Ÿš€ Use Cases

  • LLM-driven music experiences with playback orchestration
  • Real-time music state synchronization for conversational assistants
  • Programmatic discovery and queue management in apps
  • Large playlist management and batch-fetch workflows

โšก Developer Benefits

  • Clear MCP server interfaces for Spotify integration
  • Efficient API usage via smart batching
  • Ready-made playback, search, and state endpoints
  • Forkable foundation with playlist tooling and extended capabilities

โš ๏ธ Limitations

  • Grounded to the provided data; no speculative features beyond described functionality
  • Requires Spotify permissions and appropriate API access
  • Behavior tied to the underlying Spotify API and readme-described state models

Topics

mcpspotify

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Spotify - agentage MCP Catalog