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How to Use the Audiomack MCP in Mastra AI

Build resilient bots with Mastra AI to automate your Audiomack library, from creating playlists to syncing new tracks automatically.

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…and any MCP-compatible client

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Mastra AI

Connect Audiomack MCP to Mastra AI

Create your Vinkius account to connect Audiomack 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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Automate new music discovery

Set up a workflow that finds new music and sorts it for you. Your Mastra AI agent can run on a schedule, using `get_artist_uploads` to check for new tracks from artists you follow. It then automatically adds them to a specific playlist with `add_track_to_playlist`. Mastra AI's built-in retry logic means that if an API call to Audiomack fails, the agent will try again automatically. This makes your automation reliable without you having to write any error-handling code. It just works.

Keep playlists in perfect sync

Build a Mastra AI workflow to keep a playlist perfectly curated. For example, you can create a 'Top 20 Trending' playlist that your agent updates daily. The workflow calls `get_trending_music`, clears the old tracks, and uses `update_playlist` to add the new ones. This is perfect for running background jobs that maintain your music library. You define the logic once, deploy the agent, and it handles the rest. Your playlists stay fresh without any manual effort.

Monitor charts and trigger actions

Let your agent watch the Audiomack charts for you. With this Mastra AI MCP Server, you can build a workflow that polls `get_charts` for a specific song or artist. When it finds a match, it can trigger other actions. Conditional branching in Mastra AI lets you define what happens next. If your artist hits the top 10, the agent could use `repost_music` to share the track, or even call a different MCP Server to send a notification to Slack or Discord.

Setup guide

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

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

const result = await agent.generate(
  "List recent Audiomack 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 Audiomack. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Audiomack MCP in Mastra AI

Absolutely. You can create an agent that calls `get_artist_uploads` on a schedule. If it finds new tracks, it can then use the `add_track_to_playlist` tool to add them to a playlist you specify.
You provide your Vinkius endpoint token when you initialize the MCP client in your Mastra AI code. Vinkius securely handles the OAuth flow with Audiomack behind the scenes for any tool that requires authentication.
Mastra AI has built-in support for automatic retries with exponential backoff. If a tool call to this MCP Server fails due to a temporary network or API issue, your agent will automatically try again a few times before failing the entire workflow.
Yes. Your agent can call `get_artist_playlists` to get a list of all available playlists. Then, you can use tools like `update_playlist` or `delete_playlist` with the specific ID for each one you want to manage.
Your Mastra agent interacts with your Audiomack account data—playlists, favorites, follows—through the MCP Server. Vinkius isolates each request, and your auth token never leaves its secure sandbox. The workflow gets the results, not the credentials.

Start using the Audiomack MCP today

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