How to Use the Deezer MCP in OpenAI Agents SDK

Q: How do I connect Deezer to OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance using your Vinkius URL, then pass it to the mcpservers argument in your Agent setup.

Q: Can OpenAI Agents SDK paginate Deezer search results?

Yes. The searchtracks tool accepts limit and offset parameters. Your agent can loop through these arguments to pull down massive track lists automatically.

Give your OpenAI Agents SDK production-ready access to Deezer's massive music catalog with zero configuration.

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Connect Deezer MCP to OpenAI Agents SDK

Create your Vinkius account to connect Deezer to OpenAI Agents 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 Deezer with OpenAI Agents SDK

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Perplexity

Build music discovery agents with OpenAI Agents SDK

Your agent needs to dig through millions of tracks. Pass the Vinkius endpoint token to `MCPServerStreamableHttp` and you expose the entire Deezer catalog to your system immediately. The agent maps user requests like finding top French pop directly to the `get_chart` and `search_tracks` tools. Handoffs work perfectly here. One specialized agent handles the heavy lifting of pulling artist discographies via `get_artist_top_tracks`, then passes that structured data to a recommendation agent. You track every single API call in the OpenAI dashboard.

Enforce safety on audio queries

Production systems cannot just blindly fire off search queries. Built-in guardrails in the SDK validate what the agent tries to send to `search_albums` or `search_playlists` before the request ever hits the network. This matters when dealing with user-generated input. If someone tries to inject garbage into a `get_track` call, the framework catches the bad parameter. Your deployed product stays stable while pulling down accurate cover art and preview links.

Auto-discover the Deezer MCP Server

Writing glue code for REST APIs is dead. You just pass the server object to the `mcp_servers` list in your Agent constructor. The framework automatically reads all 14 endpoints, from `get_genre` to `get_artist_radio`. Performance matters in production. Setting `cacheToolsList=True` means your agent stops polling the schema on every run. It just executes the searches and returns track durations and fan counts instantly.

Setup guide

Set up Deezer MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Deezer tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Deezer tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Deezer tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Deezer Agent",
            instructions="You have access to Deezer tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 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 OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance using your Vinkius URL, then pass it to the `mcp_servers` argument in your Agent setup.

Yes. The `search_tracks` tool accepts limit and offset parameters. Your agent can loop through these arguments to pull down massive track lists automatically.

It works exactly as you expect. You can bind the music tools to a specific discovery agent, which then passes the retrieved `get_playlist` data to a separate user-facing agent.

Every tool invocation logs directly to your OpenAI dashboard. You see the exact parameters sent to `get_album_tracks` and the raw JSON response coming back.

This integration reads public music metadata like track durations, artist fan counts, and playlist creators. Vinkius runs the connection in an ephemeral V8 sandbox, so no local system files or environment variables are ever exposed.

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