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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Last.fm
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Last.fm as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Last.fm. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine Last.fm tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Last.fm

Why Use LlamaIndex with the Last.fm MCP Server

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

Data-first architecture: LlamaIndex agents combine Last.fm tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Last.fm tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Last.fm, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Last.fm tools were called, what data was returned, and how it influenced the final answer

Last.fm + LlamaIndex Use Cases

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

Hybrid search: combine Last.fm real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Last.fm to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Last.fm for fresh data

Analytical workflows: chain Last.fm queries with LlamaIndex's data connectors to build multi-source analytical reports

Last.fm MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Last.fm + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Last.fm tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.