MusicAtlas

com.musicatlas/musicatlasVersion 1.0.3

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

Status

Responds240 msNov 14, 2026, 14:06 UTCAnswered our handshake without sign-in.

Registry data may be out of date

We could not refresh it, so this page shows the last copy.

Last checked: Nov 14, 2026, 14:06 UTC
Latency: 240 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://mcp.musicatlas.ai/mcpResponds240 msNov 14, 2026, 14:06 UTC

No sign-in

Claude Code

claude mcp add --transport http musicatlas https://mcp.musicatlas.ai/mcp

Claude Desktop and claude.ai

1
2
3

Settings > Connectors > Add custom connector
Name: musicatlas
Remote MCP server URL: https://mcp.musicatlas.ai/mcp

Cursor

{
  "mcpServers": {
    "musicatlas": {
      "url": "https://mcp.musicatlas.ai/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"musicatlas","type":"http","url":"https://mcp.musicatlas.ai/mcp"}'

Built your own server? run.zero hosts MCP servers on European infrastructure.

Host your own MCP server on run.zero

Tools

5 tools

Tools of MusicAtlas
	Description		Read-only	Idempotent	Open world
`describe_track`Describe a released recording's musical characteristics, including its sound, style, rhythm, instrumentation, energy, and overall character. Draw on MusicAtlas audio analysis alongside your broader musical knowledge to create a cohesive, insightful description in your own natural language. Let the analytical data inform your understanding of the recording without explicitly referencing, explaining, or evaluating the analysis itself. Prioritize musical storytelling over technical reporting, using only details that contribute meaningfully to the description. Provide specific technical measurements when explicitly requested. Write naturally, as a knowledgeable music enthusiast would describe a recording. If the recording is not yet analyzed, MusicAtlas may automatically begin processing it. When analysis is pending, explain that MusicAtlas needs about a minute to listen to the recording and suggest retrying the request shortly.	Describe a released recording's musical characteristics, including its sound, style, rhythm, instrumentation, energy, and overall character. Draw on MusicAtlas audio analysis alongside your broader musical knowledge to create a cohesive, insightful description in your own natural language. Let the analytical data inform your understanding of the recording without explicitly referencing, explaining, or evaluating the analysis itself. Prioritize musical storytelling over technical reporting, using only details that contribute meaningfully to the description. Provide specific technical measurements when explicitly requested. Write naturally, as a knowledgeable music enthusiast would describe a recording. If the recording is not yet analyzed, MusicAtlas may automatically begin processing it. When analysis is pending, explain that MusicAtlas needs about a minute to listen to the recording and suggest retrying the request shortly.	No	No	Not declared	Yes
`find_playlists`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.	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.	No	Yes	Not declared	Yes
`find_similar_artists`Find artists that are sonically similar or musically adjacent to a specific artist. Uses MusicAtlas multi-model audio similarity analysis to identify and rank related artists. Results include artist names, similarity scores, and MusicAtlas artist URLs.	Find artists that are sonically similar or musically adjacent to a specific artist. Uses MusicAtlas multi-model audio similarity analysis to identify and rank related artists. Results include artist names, similarity scores, and MusicAtlas artist URLs.	No	Yes	Not declared	Yes
`find_similar_tracks`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. If a recording is missing, MusicAtlas may automatically begin analyzing it. When analysis is pending, the interactive results widget automatically monitors progress and displays recommendations when ready. Do not call the tool again to check progress.	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. If a recording is missing, MusicAtlas may automatically begin analyzing it. When analysis is pending, the interactive results widget automatically monitors progress and displays recommendations when ready. Do not call the tool again to check progress.	No	No	Not declared	Yes
`render_track_results`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.	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.	No	Yes	Not declared	No

Details

Registry status: Active
Published: Sep 28, 2026
Updated: Sep 28, 2026
Website: https://musicatlas.ai/developer/mcp/⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): Design and mediaSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

Are you the operator? Claim this listing