A Model Context Protocol (MCP) server for Last.fm. Gives AI assistants access to your listening history, music discovery, and detailed track/artist/album information.
A personal MCP server that analyzes your Spotify streaming history locally, enabling queries, artist insights, and recommendations using a local SQLite database.
An MCP server for the Last.fm API, exposing artist, album, track, chart, and user data as read-only tools. Supports optional writes, auth, and experimental methods over stdio or HTTP.
An MCP server for the Last.fm API that enables LLM agents to access music data including user profiles, listening history, top charts, search, and artist/album/track metadata.
Enables building mood-based playlists for Navidrome by joining your library, listen history, and personal playlist labels from Navidrome, ListenBrainz, and Last.fm.
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.