How to Use the Deezer MCP in Mastra AI

Q: How do I set up retry logic for Deezer tools in Mastra AI?

You define a workflow block with retry steps. If searchtracks returns a network error, Mastra automatically pauses and retries the call using your configured backoff settings.

Q: Can Mastra AI require human approval before fetching a Deezer playlist?

Yes. You set the requireToolApproval flag on the getplaylist tool. The workflow pauses and waits for a manual confirmation before pulling the track data.

Run complex, self-healing music curation workflows using Mastra AI and the Deezer MCP Server.

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Connect Deezer MCP to Mastra AI

Create your Vinkius account to connect Deezer 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 Deezer with Mastra AI

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Build resilient curation workflows with Mastra AI

The `get_artist_radio` tool retrieves a continuous stream of related tracks for any given musician. If the initial API request fails due to rate limits, Mastra handles the error using its built-in exponential backoff system. This resilience ensures your automated music curation runs without manual intervention. Your workflows keep running even when external music APIs experience temporary downtime.

Route music recommendations based on fan metrics

The `search_artists` tool returns critical metadata, including fan counts, total albums, and profile links to your Mastra AI agent via the MCP Server. Your workflow uses this data to branch logic dynamically, routing popular artists to one playlist and indie artists to another. You write clean TypeScript conditions to evaluate these metrics. The agent automatically decides whether to call `get_artist_top_tracks` or log the artist for human review first.

Automate playlist verification tasks

The `get_playlist` tool fetches track lists to let your workflow verify that no duplicate songs exist. You can register this tool directly with your Mastra agent by spreading the client tools into your agent configuration. By connecting this MCP Server, your workflows handle validation steps in the background. The workflow retries the search or prompts a human administrator for approval before updating the database.

Setup guide

Set up Deezer 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 Deezer 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: "deezer-mcp-client",
  servers: {
    "deezer-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deezer. 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 Deezer MCP in Mastra AI

You define a workflow block with retry steps. If `search_tracks` returns a network error, Mastra automatically pauses and retries the call using your configured backoff settings.

Yes. You set the requireToolApproval flag on the `get_playlist` tool. The workflow pauses and waits for a manual confirmation before pulling the track data.

You initialize the client, call listTools, and spread the results into your agent's tools array. The agent then chooses between `get_album`, `get_artist`, and other tools dynamically.

Yes, the client automatically detects and handles SSE or Streamable HTTP. You only need to provide the Vinkius endpoint URL during initialization.

No. Vinkius processes your music search queries and artist IDs in zero-trust, ephemeral memory. No database logs your active music data or search parameters.

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