How to Use the Last.fm MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK filter my Last.fm top tracks?

Yes. The agent uses gettoptracks to pull your data, then applies its internal logic to filter by date or playcount.

Audit your music history directly inside OpenAI Agents SDK. Connect your Last.fm account to your production agent pipeline today.

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Connect Last.fm MCP to OpenAI Agents SDK

Create your Vinkius account to connect Last.fm 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 Last.fm with OpenAI Agents SDK

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Analyze listening habits in OpenAI Agents SDK

Your agent pulls real-time data to audit what you actually play. Use `get_recent_tracks` to feed your agent raw listening logs for immediate pattern recognition. This MCP Server provides the structured context your agent needs to build custom summaries. It turns scattered scrobbles into actionable insights without manual data entry.

Profile metadata retrieval for OpenAI Agents SDK

Get deep metadata on the artists and albums you care about. When your agent triggers `get_artist_info` or `get_album_info`, you receive clean, formatted data ready for downstream processing. Stop guessing your own preferences. Your agent uses these tools to build a precise map of your music taste based on actual playback history.

Manage your top charts via OpenAI Agents SDK

Query your historical performance with `get_top_artists` and `get_top_tracks`. The agent sorts your data chronologically, giving you a clear view of your evolving music landscape. This MCP integration ensures your agent stays updated with your most played content. It keeps your personal metrics synced across your entire agent workflow.

Setup guide

Set up Last.fm 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 Last.fm tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Last.fm 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="Last.fm Agent",
            instructions="You have access to Last.fm tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Last.fm. 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 Last.fm MCP in OpenAI Agents SDK

You instantiate the server via the SDK's HTTP transport. Point the connection to your Vinkius endpoint and the agent will auto-discover all available tools.

Yes. The agent uses `get_top_tracks` to pull your data, then applies its internal logic to filter by date or playcount.

The server only touches your public profile data like track names and playcounts. Your credentials remain isolated within the Vinkius secure sandbox.

It does. The SDK handles the asynchronous communication loop, ensuring your agent remains responsive while waiting for API responses.

The agent logs the error provided by the tool handler. Since the MCP Server includes basic validation, you won't get stuck with malformed payloads.

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