How to Use the ACRCloud Music Recognition MCP in Cursor

Inject identified audio data and ISRC metadata directly into your codebase using Cursor and this MCP Server.

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Connect ACRCloud Music Recognition MCP to Cursor

Create your Vinkius account to connect ACRCloud Music Recognition to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build audio features in Cursor

The `identify_music_from_url` tool gives your editor the ability to match audio files against a global database. You provide a link to an MP3 file, and the agent calls the API to figure out the exact track. Building audio features goes faster when you stop guessing at data shapes. Your AI client pulls the actual JSON response into your editor, letting you type out interfaces based on live API output.

Hardcode real catalog data

Fetching exact master recording details happens through the `get_track_by_isrc` tool on this MCP Server. You drop an ISRC code into the chat panel, and the server fetches the specific metadata record for that release. Mocking music databases is a waste of time. The agent grabs the real label details, release dates, and track names, then inserts them directly into your test fixtures or database seed files.

Query the music catalog

Running text searches against the database requires the `search_artists`, `search_albums`, and `search_tracks` tools. The agent accepts your search strings and returns matching catalog items instantly. You can even search by lyric fragments if you forget a song title. The editor takes those search results and formats them into whatever programming language or data structure you currently have open.

Setup guide

Set up ACRCloud Music Recognition MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ACRCloud Music Recognition MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ACRCloud Music Recognition transactions." If the MCP tools are loaded correctly, Cursor will call the ACRCloud Music Recognition tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "acrcloud-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 ACRCloud. 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 ACRCloud Music Recognition MCP in Cursor

Create an mcp.json file in your project root directory. Add the MCP Server details under the mcpServers object, then toggle Agent mode on in your chat panel.

Yes, that is the main advantage of this setup. The AI client reads the live JSON output from the audio identification or search tools and writes parsing logic tailored to that exact structure.

It depends on where you put the configuration file. Placing the JSON file in your home directory makes the tools available globally, while a project-level file restricts access to that specific codebase.

No manual implementation is required. The MCP Server handles the network requests and authentication, so your agent simply calls the tools as needed during your coding session.

Vinkius handles your requests through an ephemeral infrastructure model. Any ISRC codes or MP3 links you send from the editor are dropped immediately after the API returns the track data.

Use it with your favorite AI tools

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