How to Use the AudD Music Recognition MCP in Cline

Q: Can I search for songs by text query using this MCP Server?

The searchmusic endpoint handles direct text queries. You tell your agent what to look for, and it returns the matching artists and albums straight into your editor.

Build music-aware apps in VS Code by giving Cline direct access to AudD audio identification.

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Connect AudD Music Recognition MCP to Cline

Create your Vinkius account to connect AudD Music Recognition to Cline 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 Cline

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Track Identification via Cline

The `recognize_music` tool converts audio URLs into structured track data, including artist, title, and streaming links. You ask Cline to build a playlist generator, and it feeds your MP3 links into the API to extract the exact metadata needed for your database. It's fast and direct. For massive files like DJ mixes, Cline runs `recognize_at_time`. It passes the specific timecode to the MCP Server, so you aren't forced to analyze a three-hour file just to identify one track at the 45-minute mark.

Lyric Search and Extraction

The `search_lyrics` tool locates songs based on partial text matches. When you need a feature that identifies tracks from user quotes, Cline wires this MCP Server endpoint into your backend logic and writes the corresponding tests. Fetching the complete song text requires `get_lyrics`. Your agent pulls the full verses for a specific track ID and formats them into your UI components or saves them as static JSON files in your workspace.

Monitor Live Audio Feeds

The `add_monitored_stream` tool registers live audio URLs for continuous music detection. Cline sets up the monitoring for a radio station feed and configures your local environment to receive the payload. Webhooks require destination routing. Your agent executes `set_stream_callback_url` to point the results at your local server, then calls `list_monitored_streams` to verify the active connections before writing the endpoint handler in your code.

Setup guide

Set up AudD Music Recognition MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type audd-music-recognition-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest AudD Music Recognition refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AudD. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AudD Music Recognition MCP in Cline

Open the Cline sidebar in VS Code and click the MCP Servers icon. You can install it via the Marketplace tab or add the Vinkius remote URL directly. The agent automatically detects the new endpoints and starts using them.

Yes. You instruct the agent to create a React component, and it fetches the track info using the recognition endpoints. It then writes the JSX, imports the API response, and shows you the working UI diff.

It targets specific timestamps instead of processing the whole file. The agent passes the offset parameter to the API, returning only the song playing at that exact moment in the recording.

The `search_music` endpoint handles direct text queries. You tell your agent what to look for, and it returns the matching artists and albums straight into your editor.

The platform manages your callback URLs and stream endpoints inside a zero-trust execution layer. Vinkius drops the connection state the moment the setup request finishes. Your local webhook receives the track data directly from the provider without intermediary storage.

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