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How to Use the AudD Music Recognition MCP in Mastra AI

Automate audio monitoring and music metadata workflows in Mastra AI.

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…and any MCP-compatible client

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Mastra AI

Connect AudD Music Recognition MCP to Mastra AI

Create your Vinkius account to connect AudD Music Recognition to Mastra AI 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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Automated music recognition for Mastra AI workflows

Drop `recognize_music` into your Mastra agent to identify tracks from URLs automatically. It’s the fastest way to get song data into your agent's memory. If the tool fails, Mastra handles the retry logic based on your agent's configuration. It keeps your pipeline moving without manual oversight.

Chain lyric lookups in Mastra AI

Use `get_lyrics` to feed song text into your next agent step. You can analyze sentiment or extract themes from the lyrics it returns. This works perfectly with Mastra's internal state management. You pass the track ID from a previous step, and the agent does the rest.

Stream monitoring with Mastra AI agents

Set up `add_monitored_stream` to watch for new tracks on specific feeds. Your agent listens for the webhook hit and triggers a follow-up action. It’s a clean way to handle event-driven tasks. Your agent waits for the signal, then executes the next branch of your workflow.

Setup guide

Set up AudD Music Recognition MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All AudD Music Recognition tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "audd-music-recognition-mcp-client",
  servers: {
    "audd-music-recognition-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "AudD Music Recognition Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to AudD Music Recognition tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent AudD Music Recognition transactions"
);
console.log(result.text);

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 Mastra AI

You add the server URL to your Mastra client configuration. Once linked, the tools show up in your agent's available toolset.
Absolutely. You can write a workflow that checks if `recognize_music` found a match, then routes the agent to a different path if the metadata is missing.
The server treats your audio URLs as transient inputs. Vinkius isolates these sessions, ensuring your workflow data isn't exposed to other tenants.
Yes. Since Mastra natively supports retries, you can configure the MCP tool call to try again if the connection drops.
The server only touches the audio URL and the returned song metadata. No persistent record of your specific monitoring streams is kept after the session ends.

Start using the AudD Music Recognition MCP today

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