MusicAtlas

com.musicatlas/musicatlas

Search, analyze, and discover commercially released music using sonic intelligence.

Yes, your AI can use this right now.Answered a live MCP handshake in 150 ms with no sign-in needed and exposes 5 tools.

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URL: https://mcp.musicatlas.ai/mcp

5 tools, verified live

Pulled straight from the server with tools/list on 2026-10-18.
find_similar_tracksread-only

Find songs or tracks that sound similar to, resemble, or are sonically related to a specific released recording. Use when a user asks for songs like a particular track or wants similarity-based track recommendations. MusicAtlas performs canonical track resolution and audio-based similarity search.

render_track_resultsread-only

Display previously retrieved MusicAtlas similar-track results in an interactive audio player. Accepts the source track, matching tracks, and optional hashtags. Does not perform a new search. Intended for clients that use a separate rendering step; find_similar_tracks also supports direct rendering.

describe_trackread-only

Analyze and describe how a specific released track sounds. Use when a user asks about a song's sonic or musical characteristics, genre, BPM, key, mode, loudness, intensity, frequency characteristics, or possible musical influences.

find_similar_artistsread-only

Find artists that are similar, sonically related, or musically adjacent to a specific artist. Use when a user asks for artists like or similar to a named artist. Results include ranked artist matches, MusicAtlas artist URLs, and supporting track examples.

find_playlistsread-only

Find MusicAtlas playlists for a user's musical intent. Use this whenever a user asks for playlists based on a mood, theme, genre, activity, vibe, geography, artist, or track. For natural-language requests such as 'playlists about love', 'workout playlists', or 'sad indie', pass the meaningful musical concept as tags. This tool can also find playlists associated with a specific artist or track.

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