Deezer MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Deezer through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Deezer Assistant",
instructions=(
"You help users interact with Deezer. "
"You have access to 14 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Deezer"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 14 tools from Deezer through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Deezer, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Deezer MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 14 tools from Deezer
Why Use OpenAI Agents SDK with the Deezer MCP Server
OpenAI Agents SDK provides unique advantages when paired with Deezer through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Deezer + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Deezer MCP Server delivers measurable value.
Automated workflows: build agents that query Deezer, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Deezer, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Deezer tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Deezer to resolve tickets, look up records, and update statuses without human intervention
Deezer MCP Tools for OpenAI Agents SDK (14)
These 14 tools become available when you connect Deezer to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Deezer to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Deezer + OpenAI Agents SDK FAQ
Common questions about integrating Deezer MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.