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Last.fm MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Last.fm through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Last.fm "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Last.fm?"
    )
    print(result.data)

asyncio.run(main())
Last.fm
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
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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.

Pydantic AI validates every Last.fm tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Last.fm MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Last.fm with type-safe schemas

Why Use Pydantic AI with the Last.fm MCP Server

Pydantic AI provides unique advantages when paired with Last.fm through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Last.fm integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Last.fm connection logic from agent behavior for testable, maintainable code

Last.fm + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Last.fm MCP Server delivers measurable value.

01

Type-safe data pipelines: query Last.fm with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Last.fm tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Last.fm and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Last.fm responses and write comprehensive agent tests

Last.fm MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Last.fm to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Last.fm to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Last.fm + Pydantic AI FAQ

Common questions about integrating Last.fm MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Last.fm MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Last.fm to Pydantic AI

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