A personal MCP server that analyzes your Spotify streaming history locally, enabling queries, artist insights, and recommendations using a local SQLite database.
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.
MCP server for rekordbox DJ database access. Provides read-only querying of tracks, playlists, and DJ session history from encrypted rekordbox SQLite databases using pyrekordbox.
An intelligent MCP server that enables AI agents to act as sophisticated music curators for self-hosted Navidrome libraries, focusing on quality, discovery, and non-destructive management.
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.
Local-first dashboard + MCP server that parses Claude Code and Codex JSONL files into a SQLite cost / token tracker. Per-MCP and per-tool breakdown, session drill-down, dedup by request_id; never talks to vendor APIs