How to Use the AudD Music Recognition MCP in Claude

Identify songs and pull lyrics directly inside your Claude Desktop workspace.

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Connect AudD Music Recognition MCP to Claude Desktop

Create your Vinkius account to connect AudD Music Recognition to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AudD Music Recognition with Claude Desktop

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Analyze audio files with Claude Desktop

Drop an audio URL into your chat to trigger `recognize_music`. The server returns the artist, album, and direct links to platforms like Spotify. Running `recognize_at_time` helps you pinpoint specific sections in long files. Claude Desktop processes these results to provide accurate track metadata instantly.

Search and retrieve lyrics

Use `search_lyrics` to find tracks when you only remember a few lines of text. This MCP Server scans databases to return the exact song and artist information. Need the full text? Call `get_lyrics` to pull the complete verses into your Claude Desktop conversation. It saves you from jumping between browser tabs.

Monitor streams for new music

Set up automated tracking with `add_monitored_stream` to watch specific audio sources for changes. You manage your active list through `list_monitored_streams` inside the Claude interface. Use `set_stream_callback_url` to direct the output of these monitors. It keeps your Claude Desktop environment updated as new music hits your monitored feeds.

Setup guide

Set up AudD Music Recognition MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The AudD Music Recognition MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the AudD Music Recognition MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under audd-music-recognition-mcp.

json

{
  "mcpServers": {
    "audd-music-recognition-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about AudD Music Recognition MCP in Claude Desktop

Add the server details to your configuration file to enable the tools. Once saved, you can paste track URLs directly into your chat for immediate identification.

Yes, it can. Simply ask for a lyric search by typing part of the song, and the server will return the metadata and full text.

It works on both versions. Use the integration settings to connect the server URL and start recognizing audio tracks in your workflow.

It does. Every recognition request returns links to major streaming platforms.

The server only processes the audio URLs you explicitly provide during a chat session. Your private files remain on your local machine, and only the metadata is shared for identification.

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