How to Use the Wine Pairing & Sommelier MCP in Cursor

Q: How do I integrate Wine Pairing & Sommelier with Cursor?

You set up the server in the project scope using .cursor/mcp.json. Once configured, your AI client can call tools like getwinedescription to enrich the code you are currently writing.

Q: Can I use Wine Pairing & Sommelier's tools in Cursor?

Yes. You can call getwinepairing to get specific recommendations (like matching chocolate) and inject the structured results directly into your active code block for immediate development context.

Inject live sommelier data into your code using Cursor and the MCP Server.

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Connect Wine Pairing & Sommelier MCP to Cursor

Create your Vinkius account to connect Wine Pairing & Sommelier 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 Pairing & Sommelier with Cursor

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Claude

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Pairing Logic in Code

`get_wine_pairing` lets you write code that determines wine matches based on dish inputs. Instead of hardcoding pairings, your agent calls this tool to get live data—including ratings and prices—and injects it directly into the function body. This means your AI client generates working functions that use real-world sommelier knowledge as context.

Building Recommendation Engines

Need to build a wine discovery feature? Use `recommend_wines`. Your agent calls this tool, and the resulting product data (ratings, prices) gets written right into your codebase. You're not getting mock stubs; you're getting live API responses. This capability drastically speeds up front-end development that relies on external knowledge bases.

Dynamic Menu Generation

When developing a menu generator, `get_dish_for_wine` is key. Your code can accept a wine type (like Riesling) and immediately call the tool to pull suggested dishes, writing that structured output directly into your schema file. It makes testing complex data flows simple and highly accurate.

Setup guide

Set up Wine Pairing & Sommelier 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 Pairing & Sommelier 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 Pairing & Sommelier transactions." If the MCP tools are loaded correctly, Cursor will call the Wine Pairing & Sommelier tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Common questions about Wine Pairing & Sommelier MCP in Cursor

You set up the server in the project scope using `.cursor/mcp.json`. Once configured, your AI client can call tools like `get_wine_description` to enrich the code you are currently writing.

The server handles structured textual data related to food pairings and wine types. This includes product names, descriptions, ratings, and prices, which are perfect for API responses.

Yes. You can call `get_wine_pairing` to get specific recommendations (like matching chocolate) and inject the structured results directly into your active code block for immediate development context.

It’s excellent. Because it provides live, non-mock API responses, you can test the actual data flow of a sommelier recommendation system without needing to stub out complex external calls.

The server handles structured textual data related to food pairings and wine types. This includes product names, descriptions, ratings, and prices.

Use it with your favorite AI tools

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

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