Enables building mood-based playlists for Navidrome by joining your library, listen history, and personal playlist labels from Navidrome, ListenBrainz, and Last.fm.
Generates personalized music playlists based on mood analysis using AI sentiment detection and emoji understanding. Integrates with Last.fm API to create playlists with multi-language support and provides streaming links for Spotify, Apple Music, and YouTube.
Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.
Analyze listening patterns, create custom playlists, discover missing albums, validate radio streams, and provide personalized recommendations through natural language.
An MCP server that provides intelligent playlist curation tools using Spotify track data and audio feature analysis. It enables AI assistants to create mood-based playlists, find similar songs, analyze audio characteristics, and curate personalized music collections.