Spotify Listening History Parser MCP Server for Mastra AIGive Mastra AI instant access to 1 tools to Parse Spotify History
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Spotify Listening History Parser through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Spotify Listening History Parser MCP Server for Mastra AI is a standout in the Industry Titans category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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: {
"spotify-listening-history-parser": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Spotify Listening History Parser Agent",
instructions:
"You help users interact with Spotify Listening History Parser " +
"using 1 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Spotify Listening History Parser?"
);
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 Spotify Listening History Parser MCP Server
Spotify lets you request your full listening history via Privacy settings. The result is a massive JSON file with every song you ever played. This MCP aggregates it locally into actionable insights: top 30 artists, top 30 tracks, total hours, and unique counts.
Mastra's agent abstraction provides a clean separation between LLM logic and Spotify Listening History Parser tool infrastructure. Connect 1 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.
The Superpowers
- Smart Aggregation: Millions of plays → clean top-30 rankings.
- Total Hours Calculated: Know exactly how many hours you spent listening.
- 100% Local. Your music taste stays private.
The Spotify Listening History Parser MCP Server exposes 1 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Spotify Listening History Parser tools available for Mastra AI
When Mastra AI connects to Spotify Listening History Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-parsing, music-analytics, listening-history, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Parse spotify history on Spotify Listening History Parser
The file is usually a JSON array of listening events. Parse a Spotify listening history JSON export (from Spotify Privacy or Google Takeout) and aggregate top artists, tracks, and total listening hours
Connect Spotify Listening History Parser to Mastra AI via MCP
Follow these steps to wire Spotify Listening History Parser into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Spotify Listening History Parser MCP Server
Mastra AI provides unique advantages when paired with Spotify Listening History Parser through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Spotify Listening History Parser 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 Spotify Listening History Parser 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
Spotify Listening History Parser + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Spotify Listening History Parser MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Spotify Listening History Parser, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Spotify Listening History Parser as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Spotify Listening History Parser on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Spotify Listening History Parser tools alongside other MCP servers
Example Prompts for Spotify Listening History Parser in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Spotify Listening History Parser immediately.
"What was my most listened artist in 2024?"
"How many total hours did I spend on Spotify?"
"Show my top 5 most played songs of all time."
Troubleshooting Spotify Listening History Parser MCP Server with Mastra AI
Common issues when connecting Spotify Listening History Parser to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSpotify Listening History Parser + Mastra AI FAQ
Common questions about integrating Spotify Listening History Parser 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?
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