Deezer MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Deezer integration everywhere
Built-in streaming UI primitives let you display Deezer tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Deezer in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Deezer tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Deezer capabilities into conversational interfaces with streaming responses and tool call visibility
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:
get_album
Get detailed album information
get_album_tracks
Get tracks from an album
get_artist
Get detailed artist information
get_artist_radio
Get artist radio tracks
get_artist_top_tracks
Get top tracks for an artist
get_chart
Optionally filter by country using ISO 3166-1 country code. Get Deezer charts
get_genre
Get genre information
get_genre_playlists
Get playlists for a genre
get_playlist
Get detailed playlist information
get_track
Get detailed track information
search_albums
Returns albums with release date, track count, and cover art info. Search for albums on Deezer
search_artists
Returns artist info including fan count, album count, and profile links. Search for artists on Deezer
search_playlists
Returns playlist info including creator, track count, and fan count. Search for playlists on Deezer
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.
"Search for songs by Daft Punk."
"What's trending in Brazil right now?"
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpDeezer + Vercel AI SDK FAQ
Common questions about integrating Deezer MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Deezer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
