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Cursor IDE + Vinted MCP: Code With Live Data

#ai #mcp #javascript #tutorial

Imagine writing code in your IDE and having instant access to live Vinted marketplace data — no API keys to manage, no HTTP requests to write, no response parsing to handle. Just ask your AI coding assistant and get real data.

Cursor IDE + Vinted MCP Server makes this real. Here's how to set it up and why it changes everything for developers building commerce tools.

What Is MCP (Model Context Protocol)?

MCP is an open protocol by Anthropic that lets AI assistants connect to external tools and data sources. Think of it as plugins for AI — except they work across any MCP-compatible client. The Vinted MCP Server is a tool that gives your AI access to Vinted's marketplace: search listings, get prices, analyze trends.

Why Cursor + Vinted MCP?

Cursor IDE has built-in MCP support. Once you connect the Vinted MCP server, you can:

  • Query live data while coding — ask "What does a Vinted listing object look like?" and get a real example
  • Test business logic with real prices — no mock data needed
  • Build features faster — the AI understands your code AND the data source
  • Debug with context — "Why is my price filter not working? Here's what Vinted actually returns for this query"

Setup: 4 Minutes, Start to Finish

Step 1: Install the Package 

npm install -g vinted-mcp-server
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The package is available on npm. Source code on GitHub.

Step 2: Configure Cursor

Open Cursor Settings → MCP Servers → Add new:

{
  "mcpServers": {
    "vinted": {
      "command": "npx",
      "args": ["-y", "vinted-mcp-server"],
      "env": {
        "VINTED_COUNTRY": "fr"
      }
    }
  }
}
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Change VINTED_COUNTRY to your target market: fr, de, nl, es, it, be, pl, lt, cz, pt, etc.

Step 3: Restart Cursor

Cursor will detect the MCP server and show "vinted" in your available tools. You're ready.

Step 4: Start Coding With Live Data

In Cursor's AI chat, try:

"Search Vinted for 'vintage Levi's jacket' and show me the JSON structure of a listing"
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The AI calls the MCP server, gets real results, and shows you the actual data shape — perfect for building TypeScript interfaces.

Practical Use Cases for Developers

1. Generate TypeScript Types From Real Data 

You: Search Vinted for sneakers and generate a TypeScript 
     interface from the listing data

Cursor AI: Based on the live data, here's the interface:

interface VintedListing {
  id: number;
  title: string;
  price: number;
  currency: string;
  brand: string;
  size: string;
  condition: string;
  photoUrls: string[];
  sellerRating: number;
  url: string;
  createdAt: string;
}
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No guessing. No outdated documentation. Real data, real types.

2. Build Price Comparison Features

While writing a price comparison module, ask:

"What's the price range for 'PS5 DualSense' on Vinted France? 
 I need min, max, median, and count."
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Cursor returns real statistics you can use to calibrate your algorithm.

3. Prototype Dashboards With Real Data 

You: I'm building a React dashboard for Vinted analytics. 
     Get me 20 Nike listings with prices and generate a 
     mock data file I can import.

Cursor AI: [calls Vinted MCP, gets 20 real listings]
     Here's your data file with real Vinted listings...
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4. Test Search Algorithms

Building a search relevance system? Feed it real Vinted results:

"Search Vinted for 'blue dress' and also 'robe bleue' — 
 I want to compare result overlap for my deduplication logic"
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5. Validate Business Rules 

You: My app flags deals where price is >30% below average. 
     Search for 'iPhone 14 case' and tell me which listings 
     my rule would flag.

Cursor AI: [searches, calculates average, identifies outliers]
     Average price: €12.50. These 3 listings would trigger 
     your rule: ...
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Advanced: Multi-Country Development

You can configure multiple Vinted MCP instances for different countries:

{
  "mcpServers": {
    "vinted-fr": {
      "command": "npx",
      "args": ["-y", "vinted-mcp-server"],
      "env": { "VINTED_COUNTRY": "fr" }
    },
    "vinted-de": {
      "command": "npx",
      "args": ["-y", "vinted-mcp-server"],
      "env": { "VINTED_COUNTRY": "de" }
    }
  }
}
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Now ask: "Compare prices for 'Patagonia fleece' between France and Germany" — and get instant cross-market insights while you code.

Building a Full App: Example Architecture

Here's how a Vinted analytics app looks with MCP in development:

┌─────────────────────────────────┐
│         Cursor IDE              │
│  ┌───────────┐ ┌─────────────┐  │
│  │ Your Code │ │ AI + MCP    │  │
│  │           │ │  ┌────────┐ │  │
│  │ React App │←┤  │Vinted  │ │  │
│  │ Next.js   │ │  │MCP     │ │  │
│  │ Prisma DB │ │  │Server  │ │  │
│  └───────────┘ │  └────────┘ │  │
│                └─────────────┘  │
└─────────────────────────────────┘
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During development, the AI uses MCP to understand the data. In production, your app can use the Apify Vinted Smart Scraper or the Apify Vinted MCP Server for reliable, scalable data access.

Pro Tips

  • Use .cursorrules to tell the AI about your project context. Example: "This project uses the Vinted MCP server for marketplace data. Always use real data when available."
  • Combine with other MCPs — you can use Vinted MCP alongside database MCPs, GitHub MCP, etc.
  • Cache during dev — if you're making the same queries repeatedly, ask the AI to save results to a local JSON file
  • Use Composer mode for multi-file changes that need Vinted data context

Common Workflows

Task Prompt
Generate mock data "Get 50 Vinted listings for shoes and save as fixtures/shoes.json"
Build types "Search Vinted and create TypeScript types for all response fields"
Price algorithm "Get price distribution for X and help me build a pricing function"
Test filters "Search with filters X, Y, Z — are results correctly filtered?"
API design "Based on Vinted listing data, design a REST API for my price tracker"

FAQ

Does this slow down Cursor?

No. The MCP server runs as a lightweight local process. It only activates when the AI calls a Vinted tool.

Can I use this in VS Code instead of Cursor?

Currently, MCP support is best in Cursor and Claude Desktop. VS Code extensions for MCP are in development. You can also use the Apify hosted version via API.

What countries does Vinted MCP support?

All Vinted markets: France, Germany, Netherlands, Spain, Italy, Belgium, Poland, Lithuania, Czech Republic, Portugal, and more.

Is the data real-time?

Yes. Each query hits Vinted's live marketplace. Results match what you'd see on vinted.fr (or whichever country you've configured).

Can I contribute to the project?

Absolutely. The GitHub repo welcomes contributions. Check the issues tab for feature requests.

Get Started Now 

npm install -g vinted-mcp-server
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👉 npm package
👉 Apify Vinted MCP
👉 GitHub source
👉 Vinted Smart Scraper

Stop writing mock data. Code with the real thing.

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