MCP server

MusicAtlas Official

com.musicatlas/musicatlas

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

musicatlas.com (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 1,281 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.musicatlas]
url = "https://mcp.musicatlas.ai/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"musicatlas":{"type":"http","url":"https://mcp.musicatlas.ai/mcp"}}}

Antigravity

agy mcp add musicatlas https://mcp.musicatlas.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"musicatlas","server_url":"https://mcp.musicatlas.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"musicatlas","server_url":"https://mcp.musicatlas.ai/mcp"}

Tools

• describe_track ~296 tokens
  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 a
• find_playlists ~296 tokens
  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 musica
• find_similar_artists ~147 tokens
  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_similar_tracks ~191 tokens
  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_results ~351 tokens
  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.

Browse

• Music and audio

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Badge for your README

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