How do I find my Last.fm API Key?

Go to the [**Last.fm API account page**](https://www.last.fm/api/account/create), create an API account, and you will find your API Key there. Copy and paste it into the field below.

Can the agent check my top artists for a specific period?

Yes. Use the `get_top_artists` tool providing your username and the desired period (e.g., 'overall', '7day', '1month'). Your agent will return your most-listened artists instantly.

Is it possible to retrieve metadata for a specific track via the agent?

Yes. The `get_track_info` tool allows your agent to fetch complete metadata for any song by providing the artist and track names, including album and listener counts.

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

Name: Last.fm
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Last.fm through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "lastfm": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Last.fm, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Last.fm through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Last.fm via MCP

Why Use LangChain with the Last.fm MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Last.fm MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Last.fm queries for multi-turn workflows

Last.fm + LangChain Use Cases

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

RAG with live data: combine Last.fm tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Last.fm, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Last.fm tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Last.fm tool call, measure latency, and optimize your agent's performance

Last.fm MCP Tools for LangChain (10)

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

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Last.fm + LangChain FAQ

Common questions about integrating Last.fm MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.