How to Use the Wine-Searcher MCP in Cursor

Q: Can I use Wine-Searcher's producer info in my project scope with Cursor?

Yes. By configuring the MCP Server in your .cursor/mcp.json, the agent can access producerinfo and treat it as a real, live API call within your coding session.

Q: Does Wine-Searcher provide pricing comparison data when integrated with Cursor?

Yes. The marketprice tool is perfect for this. You write code that calls the function, and it returns live global market pricing data that you can immediately use in your program.

Q: If I'm writing a script, can Wine-Searcher help me check wine details with Cursor?

Definitely. Use winecheck to pull all the necessary variables—like appellation and alcohol content—and write your logic around that live data stream.

Live wine database access for developers writing code with Cursor.

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Connect Wine-Searcher MCP to Cursor

Create your Vinkius account to connect Wine-Searcher to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wine-Searcher with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run Wine-Searcher tools in your project context

The agent mode lets the AI call MCP tools and inject live data directly into the code you're writing. You can use `grape_info` to pull specific grape variety details. Instead of using mock data or stubs, the AI generates working functions that rely on real API responses from the Wine-Searcher MCP Server.

Get wine scores and pricing with Cursor

Need to embed live market pricing into a recommendation engine? You can use `search_wines` which returns matching wines, current pricing, and scores. This data is injected directly into your active code file. It means you get live context without ever leaving the editor—the result shows up right where you're coding.

Research regions via MCP Server

When building a system that needs geographic wine data, `region_info` is key. It retrieves essential details about terroir and regional exploration for your project. This allows you to write code that makes accurate, context-aware decisions based on real viticultural geography.

Setup guide

Set up Wine-Searcher MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Wine-Searcher MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Wine-Searcher transactions." If the MCP tools are loaded correctly, Cursor will call the Wine-Searcher tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "wine-searcher-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wine-Searcher. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Wine-Searcher MCP in Cursor

You enable Agent mode in the chat and reference the required tool. The AI will automatically figure out which function to call, like `wine_check`, and inject the live output into your code.

This server touches global wine pricing, critic scores, grape varieties, regions, and producer data. The AI uses this information to write functional code blocks for you.

Yes. By configuring the MCP Server in your `.cursor/mcp.json`, the agent can access `producer_info` and treat it as a real, live API call within your coding session.

Yes. The `market_price` tool is perfect for this. You write code that calls the function, and it returns live global market pricing data that you can immediately use in your program.

Definitely. Use `wine_check` to pull all the necessary variables—like appellation and alcohol content—and write your logic around that live data stream.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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