Last.fm MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
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.
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="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())
* 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.
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 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.
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
Last.fm + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Last.fm MCP Server delivers measurable value.
Automated workflows: build agents that query Last.fm, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Last.fm, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Last.fm tools and transform it with OpenAI models in a single async loop
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:
get_album_info
Get metadata for an album
get_artist_info
Get metadata for an artist
get_loved_tracks
Get the loved tracks for a user
get_recent_tracks
Get the recent tracks listened to by a user
get_top_albums
Get the top albums for a user
get_top_artists
Get the top artists for a user
get_top_tags
fm based on the provided unique identifier or parameters. Get the top tags on Last.fm
get_top_tracks
Get the top tracks for a user
get_track_info
Get metadata for a track
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.
"List my top 5 tracks this month on Last.fm."
"Show me my recent tracks for user 'vinkius'."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Last.fm + OpenAI Agents SDK FAQ
Common questions about integrating Last.fm 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 Last.fm 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 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.
