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Deezer MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Deezer through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Deezer, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Deezer
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Deezer MCP Server

Connect Deezer music catalog to any AI agent and search millions of tracks, discover artists, explore albums and playlists, and check global charts through natural language.

The Vercel AI SDK gives every Deezer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Track Search — Search millions of tracks by title, lyrics, or keywords with preview links
  • Artist Discovery — Find artists, view fan counts, and get their top tracks and radio stations
  • Album Browsing — Look up albums by title or artist with release dates and track listings
  • Playlist Exploration — Search public playlists by mood, genre, or curator
  • Charts — Check top tracks, albums, artists, and playlists globally or by country
  • Genre Navigation — Browse music genres and find curated playlists per genre

The Deezer MCP Server exposes 14 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Deezer to Vercel AI SDK via MCP

Follow these steps to integrate the Deezer MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 14 tools from Deezer and passes them to the LLM

Why Use Vercel AI SDK with the Deezer MCP Server

Vercel AI SDK provides unique advantages when paired with Deezer through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Deezer integration everywhere

03

Built-in streaming UI primitives let you display Deezer tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Deezer + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Deezer MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Deezer in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Deezer tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Deezer capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Deezer through natural language queries

Deezer MCP Tools for Vercel AI SDK (14)

These 14 tools become available when you connect Deezer to Vercel AI SDK via MCP:

01

get_album

Get detailed album information

02

get_album_tracks

Get tracks from an album

03

get_artist

Get detailed artist information

04

get_artist_radio

Get artist radio tracks

05

get_artist_top_tracks

Get top tracks for an artist

06

get_chart

Optionally filter by country using ISO 3166-1 country code. Get Deezer charts

07

get_genre

Get genre information

08

get_genre_playlists

Get playlists for a genre

09

get_playlist

Get detailed playlist information

10

get_track

Get detailed track information

11

search_albums

Returns albums with release date, track count, and cover art info. Search for albums on Deezer

12

search_artists

Returns artist info including fan count, album count, and profile links. Search for artists on Deezer

13

search_playlists

Returns playlist info including creator, track count, and fan count. Search for playlists on Deezer

14

search_tracks

Returns tracks with title, artist, album, duration, and preview link. Supports pagination with limit and offset index. Search for tracks on Deezer

Example Prompts for Deezer in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Deezer immediately.

01

"Search for songs by Daft Punk."

02

"What's trending in Brazil right now?"

03

"Find me chill playlists for studying."

Troubleshooting Deezer MCP Server with Vercel AI SDK

Common issues when connecting Deezer to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Deezer + Vercel AI SDK FAQ

Common questions about integrating Deezer MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Deezer to Vercel AI SDK

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.