Augment Spotify control with a comprehensive suite of 93 tools for smart shuffling, vibe analysis, natural language search, and deep music insights via any Model Context Protocol client.
Sponsored
This powerful Model Context Protocol (MCP) server provides an unparalleled level of control over Spotify through AI assistants like Claude and Cursor. Going far beyond basic playback, it offers a massive suite of 93 sophisticated tools, enabling users to perform smart shuffles with energy arcs, analyze playlist vibes without relying on deprecated audio features, conduct natural language song searches, map intricate artist networks, track personal taste evolution, and much more. Crucially, it is robustly designed to function seamlessly even after Spotify's February 2026 API changes, utilizing advanced techniques and PKCE authentication to maintain full functionality.
Key Features
01Artist network mapping and taste evolution tracking
02Smart shuffle with 6 strategies, including energy arcs
03Natural language search for nuanced song discovery
04Comprehensive suite of 93 advanced Spotify tools
05AI-powered vibe engine for mood and energy analysis
061 GitHub stars
07PKCE authentication and compatibility with Spotify's post-2026 API
Use Cases
01Analyze personal listening habits and track how music taste evolves over time.
02Perform advanced playlist curation, including merging, deduplicating, and smart sorting.
03Discover new music and artists using related artist networks and mood-based recommendations.