How to Use the ACRCloud Music Recognition MCP in VS Code Copilot

Give your engineering team instant access to music identification and catalog search inside VS Code Copilot.

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Connect ACRCloud Music Recognition MCP to VS Code Copilot

Create your Vinkius account to connect ACRCloud Music Recognition to VS Code Copilot 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 ACRCloud Music Recognition with VS Code Copilot

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Audio fingerprinting via MCP

The `identify_music_from_url` tool lets your agent read an audio link and return the exact song match. A developer pastes a URL pointing to a WAV file, and the API checks the acoustic fingerprint against millions of tracks. This gets rid of the need to run separate identification scripts during development. Copilot processes the returned track data and can immediately use it to populate variables or write tests.

Fetch master release data

Pulling definitive catalog records is the job of the `get_track_by_isrc` tool on this MCP Server. You hand the AI client an ISRC string, and it grabs the exact metadata tied to that specific commercial release. Teams building music platforms need accurate label and release information. The agent fetches this data live and drops it right into your shared repository files as you type.

Search the global catalog

Finding artists or albums requires calling the `search_artists`, `search_albums`, and `search_tracks` tools through the MCP Server. Your editor takes a simple text query and hits the massive music database to find matches. Searching by lyric snippets works perfectly if you lack the exact track name. Copilot takes the resulting array of catalog items and formats them into valid JSON or database seed scripts.

Setup guide

Set up ACRCloud Music Recognition MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the ACRCloud Music Recognition MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the ACRCloud Music Recognition tools listed. Try asking: "List my recent ACRCloud Music Recognition transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about ACRCloud Music Recognition MCP in VS Code Copilot

Create a .vscode/mcp.json file in your repository root. Commit this file to version control so every engineer gets the server configuration automatically upon pulling the branch.

Your team must run version 1.96 or higher. Older builds lack the necessary agent mode capabilities to execute remote tools.

The server itself only provides the music metadata and identification tools. The AI client reads that data and handles the actual code generation inside your active editor tabs.

Open the chat panel and ask the agent to identify a specific audio URL. Ensure you have switched the chat interface into Agent mode so it has permission to execute the MCP Server tools.

Vinkius manages all network traffic through an isolated execution environment. Text searches and ISRC codes pass through the system once and are never retained in any database or log file.

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