How to Use the ACRCloud Music Recognition MCP in Mastra AI

Automate complex music copyright and catalog workflows with Mastra AI.

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Connect ACRCloud Music Recognition MCP to Mastra AI

Create your Vinkius account to connect ACRCloud 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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Setup ACRCloud Music Recognition with Mastra AI

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Perplexity

Build Fault-Tolerant Audio Pipelines via MCP

Workflows in Mastra AI can process entire directories of audio files using `identify_music_from_url`. If a specific URL times out or fails to match, the built-in exponential backoff handles the retry automatically. You set up conditional branching to manage the results. When an audio file returns a match, the workflow routes the track ID to a tagging agent, but when it fails, it alerts a human admin.

Automated ISRC Verification

Running catalog audits requires precise data, which `get_track_by_isrc` delivers directly to your agent. Mastra AI can iterate through thousands of database records, pulling exact metadata for every ISRC code. This eliminates manual catalog checking. Your agent pulls the data, verifies the publishing details against your internal database, and flags any discrepancies in a consolidated report.

Deep Catalog Mapping

Finding missing metadata is simple when your workflow combines `search_albums`, `search_artists`, and `search_tracks`. The agent takes incomplete records, runs searches based on lyric fragments or artist names, and fills in the blanks. Spread these tools into your Mastra agent configuration using mcpClient.listTools(). The framework handles the transport layer, letting you focus on the actual business logic of your music pipeline.

Setup guide

Set up ACRCloud 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ACRCloud Music Recognition tools become native Mastra tools.
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: "acrcloud-music-recognition-mcp-client",
  servers: {
    "acrcloud-music-recognition-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about ACRCloud Music Recognition MCP in Mastra AI

Initialize an MCPClient with your Vinkius endpoint URL. Call listTools() and spread them into your agent's tools array. Mastra auto-detects whether to use Streamable HTTP or SSE.

Yes. You can enable requireToolApproval for any of the search or identification tools. A human can review the audio URL before the agent spends credits checking it against the database.

Mastra's workflow engine catches the failure. You can configure it to retry the identification tool with exponential backoff or branch the workflow to try a different audio source.

You build the bulk operation yourself using Mastra workflows. The agent loops through your dataset and calls the individual search tools for each track or artist sequentially.

We route your ISRC codes and unreleased audio URLs through a zero-trust V8 isolate. Vinkius destroys the sandbox the moment your Mastra workflow completes the execution.

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