Spotify Listening History Parser MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Parse Spotify History
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Spotify Listening History Parser through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Spotify Listening History Parser MCP Server for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Spotify Listening History Parser, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Spotify Listening History Parser tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire Spotify Listening History Parser into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Spotify Listening History Parser MCP Server
Vercel AI SDK provides unique advantages when paired with Spotify Listening History Parser through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Spotify Listening History Parser integration everywhere
Built-in streaming UI primitives let you display Spotify Listening History Parser tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Spotify Listening History Parser + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Spotify Listening History Parser MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Spotify Listening History Parser in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Spotify Listening History Parser tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Spotify Listening History Parser capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Spotify Listening History Parser through natural language queries
Example Prompts for Spotify Listening History Parser in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Spotify Listening History Parser to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSpotify Listening History Parser + Vercel AI SDK FAQ
Common questions about integrating Spotify Listening History Parser MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
View all →
SkootEco
18 toolsConnect your AI agents to SkootEco to track carbon emissions, purchase offsets, plant trees, and generate ESG compliance reports.
HigherGov
12 toolsFind and track government contracts, grants, and procurement opportunities with intelligence built for public sector vendors.
Hudu
10 toolsManage IT documentation, assets, and passwords via Hudu API.
Bible API
6 toolsSearch and retrieve scripture — audit Bible versions and verses via AI.