Spotify

About

This tool is a Model Context Protocol server designed to empower users to effortlessly create and manage Spotify playlists using natural language commands. It features a sophisticated similarity engine that allows for generating track recommendations based on various audio features and genres, employing multiple algorithms to tailor playlists to specific moods, energies, or styles, and can search within various scopes like the entire catalog, user's saved tracks, or existing playlists. The server simplifies complex Spotify API interactions into intuitive commands for AI-assisted playlist curation.

Key Features

• Create and manage Spotify playlists using natural language commands.
• 1 GitHub stars
• Utilize 8 distinct similarity algorithms, including Euclidean, Cosine, Mood Match, and Genre Match.
• Search for similar tracks across the entire Spotify catalog, specific playlists, artist discographies, albums, or user's saved tracks.
• Analyze and compare tracks based on detailed audio features like danceability, energy, and tempo.
• Automate playlist creation or track addition based on similarity engine results.

Use Cases

• Create custom-weighted similarity searches to prioritize specific audio features like tempo or danceability for unique mixes.
• Discover and add similar tracks within existing playlists, artist discographies, or your saved library.
• Generate mood-specific or energy-driven Spotify playlists using AI-powered track similarity.