How to Use the Audiomack MCP in Vercel AI SDK

Q: How do I build a real-time Audiomack search with the Vercel AI SDK?

You'll use the streamText function from the Vercel AI SDK and pass it the search or searchautosuggest tools from this MCP server. The SDK handles streaming the results directly into your UI components, updating them live as the data arrives.

Q: Can I manage Audiomack playlists from my Next.js app?

Yes. After setting up the client, you can call tools like createplaylist and addtracktoplaylist directly from your server-side or client-side code. The changes will reflect in your Audiomack account immediately.

Q: What's the difference between getmusicbyid and getmusicbyslug?

Use getmusicbyid when you have the unique Audiomack numerical ID for a song or album. Use getmusicbyslug when you only have the URL-friendly text slug, which is often easier to work with.

Build a music app with the Vercel AI SDK that streams Audiomack charts and search results directly into your UI, no spinners needed.

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Connect Audiomack MCP to Vercel AI SDK

Create your Vinkius account to connect Audiomack to Vercel AI SDK 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 Audiomack with Vercel AI SDK

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Build a real-time discovery feed

Let your users find music on Audiomack without a single page load. The Vercel AI SDK streams tool results directly into your frontend components, so you can build an interface that feels alive and responsive. When a user types in a search box, you can call `search_autosuggest` and show results character-by-character. Fetching `get_trending_music` or `get_charts` populates your UI in real time. That's a much better experience than making your users stare at a loading icon.

Create instant playlist management

Build playlist management that feels instantaneous. Your React or Svelte app can call `create_playlist`, `add_track_to_playlist`, or `remove_track_from_playlist` and the UI updates as the action completes, not after a delay. Because the Vercel AI SDK handles the streaming connection, you don't have to write complex state management code. The user adds a track, and it just appears in the list. It's the kind of fluid interaction that users expect from a modern web app.

Connect users to artists with your MCP Server

Let users follow their favorite artists directly from your app. This MCP Server gives your AI client the tools to build a social layer on top of Audiomack's library. Your app can use `follow_artist` to add an artist to a user's list, then pull their latest tracks with `get_artist_uploads`. This lets you create a personalized feed that's always current, keeping users engaged and coming back to your application.

Setup guide

Set up Audiomack MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Audiomack tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Audiomack transactions",
});

console.log(text);
await mcpClient.close();

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 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.

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Common questions about Audiomack MCP in Vercel AI SDK

You'll use the `streamText` function from the Vercel AI SDK and pass it the `search` or `search_autosuggest` tools from this MCP server. The SDK handles streaming the results directly into your UI components, updating them live as the data arrives.

Yes. After setting up the client, you can call tools like `create_playlist` and `add_track_to_playlist` directly from your server-side or client-side code. The changes will reflect in your Audiomack account immediately.

It does. The Vercel AI SDK is framework-agnostic and provides adapters for Svelte, Vue, React, and more. You'll install the same packages and use the same `createMCPClient` function to connect to the Audiomack server.

Use `get_music_by_id` when you have the unique Audiomack numerical ID for a song or album. Use `get_music_by_slug` when you only have the URL-friendly text slug, which is often easier to work with.

It only handles your Audiomack account data, like your playlists and followed artists. Vinkius manages the auth token in an ephemeral, sandboxed environment for each request. Your app gets the music data, not your login details.

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