Enables Claude and other LLM agents to build playlists, control playback, and discover music on Spotify.
Sponsored
mcp-spotify is a Model Context Protocol (MCP) server designed to empower large language models (LLMs) like Claude with direct access and control over Spotify. It provides a suite of granular tools for managing playlists, searching for tracks, accessing personalized music data, and controlling media playback. While navigating Spotify's evolving API restrictions, this server focuses on leveraging available endpoints to facilitate intelligent music discovery and curation workflows, allowing LLMs to act as sophisticated music assistants for users.
Características Principales
01Control Spotify playback (play specific tracks, pause current playback, get now playing info)
02Seamless integration with Claude Desktop/Code via MCP configuration
030 GitHub stars
04Search for tracks using various filters (genre, year, artist)
05Create, add tracks to, remove tracks from, and list user playlists
06Retrieve user's top tracks and artists based on listening history
Casos de Uso
01Building dynamic and personalized Spotify playlists through natural language commands with an LLM.
02Controlling Spotify music playback and managing queues using LLM agents.
03Discovering new music and artists based on user preferences or LLM-driven recommendations despite API limitations.
