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Last.fm MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Last.fm through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="Last.fm Assistant",
            instructions=(
                "You help users interact with Last.fm. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Last.fm"
        )
        print(result.final_output)

asyncio.run(main())
Last.fm
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IAMAccess control
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Last.fm MCP Server

Empower your AI agent to orchestrate your entire music data ecosystem with Last.fm, the world's leading music discovery service. By connecting Last.fm to your agent, you transform complex listening analytics into a natural conversation. Your agent can instantly list your top tracks, audit your favorite artists, and retrieve detailed music metadata without you ever touching a dashboard. Whether you are a dedicated audiophile or a music researcher, your agent acts as a real-time curator, ensuring your musical taste is always quantified and trends are monitored.

The OpenAI Agents SDK auto-discovers all 10 tools from Last.fm through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Last.fm, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Habit Auditing — List recent tracks and query your most-listened artists, albums, and songs across flexible time periods.
  • Metadata Oversight — Retrieve detailed information for any artist, album, or track to maintain a deep understanding of your library.
  • Discovery Monitoring — Browse top tags and charts to identify global music trends and find new inspiration.
  • Engagement Management — List your loved tracks to stay on top of your personal musical highlights.
  • Profile Intelligence — Retrieve detailed user metadata and account info to maintain strict organizational control.

The Last.fm MCP Server exposes 10 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 Last.fm to OpenAI Agents SDK via MCP

Follow these steps to integrate the Last.fm MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Last.fm

Why Use OpenAI Agents SDK with the Last.fm MCP Server

OpenAI Agents SDK provides unique advantages when paired with Last.fm through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Last.fm + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Last.fm MCP Server delivers measurable value.

01

Automated workflows: build agents that query Last.fm, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Last.fm, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Last.fm tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Last.fm to resolve tickets, look up records, and update statuses without human intervention

Last.fm MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Last.fm to OpenAI Agents SDK via MCP:

01

get_album_info

Get metadata for an album

02

get_artist_info

Get metadata for an artist

03

get_loved_tracks

Get the loved tracks for a user

04

get_recent_tracks

Get the recent tracks listened to by a user

05

get_top_albums

Get the top albums for a user

06

get_top_artists

Get the top artists for a user

07

get_top_tags

fm based on the provided unique identifier or parameters. Get the top tags on Last.fm

08

get_top_tracks

Get the top tracks for a user

09

get_track_info

Get metadata for a track

10

get_user_info

fm user. Get information about a Last.fm user

Example Prompts for Last.fm in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Last.fm immediately.

01

"List my top 5 tracks this month on Last.fm."

02

"Show me my recent tracks for user 'vinkius'."

03

"Get information about the artist 'Radiohead'."

Troubleshooting Last.fm MCP Server with OpenAI Agents SDK

Common issues when connecting Last.fm to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Last.fm + OpenAI Agents SDK FAQ

Common questions about integrating Last.fm MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Last.fm to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.