Last.fm MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Last.fm through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"lastfm": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Last.fm Agent",
instructions:
"You help users interact with Last.fm " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Last.fm?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Last.fm tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the Last.fm MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Last.fm via MCP
Why Use Mastra AI with the Last.fm MCP Server
Mastra AI provides unique advantages when paired with Last.fm through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Last.fm without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Last.fm tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Last.fm + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Last.fm MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Last.fm, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Last.fm as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Last.fm on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Last.fm tools alongside other MCP servers
Last.fm MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Last.fm to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Last.fm to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLast.fm + Mastra AI FAQ
Common questions about integrating Last.fm MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.