Provides Last.fm listening analytics and recommendations by combining Last.fm and MusicBrainz metadata, maintaining a local listening index, and recording explicit preferences. Enables queries for listening summaries, taste profiles, artist context, and evidence-backed recommendations via MCP tools.
Enables music search, metadata retrieval, local audio analysis (tempo, key, energy), recommendations, song recognition, and classical work resolution via Spotify, Last.fm, AudD, MusicBrainz, and Songkick APIs.
Analyze listening patterns, create custom playlists, discover missing albums, validate radio streams, and provide personalized recommendations through natural language.
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.
