Spotify Enhanced Music
Automate Spotify playlist curation and management with 18 smart tools for discovery, analysis, and recommendations.
关于
This Model Context Protocol (MCP) server enables Anthropic's Claude (Code CLI or Desktop) to interact with Spotify, offering a comprehensive suite of 18 tools for advanced music curation and management. Users can leverage features like deep track identification, multi-source audio analysis (BPM, key, danceability), automated recommendations, and personalized playlist creation based on listening habits. The server ensures reliable operations with automatic Spotify API rate limit handling, efficient batch processing for large playlists, and asynchronous execution for seamless music organization and discovery.
主要功能
- Multi-source audio feature analysis (BPM, key, energy, danceability, valence)
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- Automatic Spotify API rate limit handling, batch processing, and async execution
- Retrieve user's top tracks across various time periods (4 weeks, 6 months, all time)
- Smart playlist curation and automated recommendations with seed validation
- Comprehensive playlist statistics, merging, comparison, and duplicate track identification
使用案例
- Create highly personalized Spotify playlists using top tracks and tailored recommendations
- Analyze and filter music by specific audio features for workout, DJ mixes, or mood-based playlists
- Streamline playlist management by merging, comparing, and removing duplicate tracks efficiently
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