How to Use the Wine Pairing & Sommelier MCP in Vercel AI SDK

Q: How does Wine Pairing & Sommelier help with complex queries using Vercel AI SDK?

The server provides several tools, like getwinepairing and recommendwines. You can call these sequentially to build a complete workflow: first recommend wines based on a dish, then use the wine's name to get its description. All results stream back in real time.

Q: Can I get product prices when using Wine Pairing & Sommelier with Vercel AI SDK?

Yes. The getwinepairing tool provides specific product suggestions, including the current price and a rating for those bottles. This makes it useful for direct sales integrations.

Q: If I need dish ideas for a specific wine using Wine Pairing & Sommelier and Vercel AI SDK?

You'll use the getdishforwine tool. Just pass in the wine type—like Merlot or Riesling—and your agent will output several expert food pairing suggestions immediately.

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Connect Wine Pairing & Sommelier MCP to Vercel AI SDK

Create your Vinkius account to connect Wine Pairing & Sommelier to Vercel AI SDK 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 Vercel AI SDK

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Streaming Dish Pairings via MCP Server

Need a dish for that Merlot? The `get_dish_for_wine` tool takes common wine types like Pinot Noir and Riesling, then streams the perfect food pairing recommendations straight to your UI. Users see the suggested meal pop up instantly, no loading spinner required. This real-time data flow makes building interactive experiences easy. You can build a dynamic sommelier chat where users get immediate, actionable pairings as they type.

Getting Specific Wine Pairings with Vercel AI SDK

If you know the meal—say, steak or salmon—the `get_wine_pairing` tool handles it. It delivers expert wine recommendations complete with specific product names, current ratings, and prices. This is perfect for e-commerce sites where users need to buy something immediately. The output streams directly into your frontend code. Your user doesn't wait; they see the list of top-rated bottles appear as if it were typed out live by an expert.

Discovering Wine Descriptions in Real Time

Use `get_wine_description` when a user is just browsing and wants to know more about, say, Chardonnay. This tool provides detailed background info on the wine type, which you can stream into an informational card or tooltip. It's pure content delivery. This feature lets your client build out deep educational tools. Since the data streams, you get a smooth reading experience that feels natural and immediate to the end user.

Setup guide

Set up Wine Pairing & Sommelier MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Wine Pairing & Sommelier tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Wine Pairing & Sommelier transactions",
});

console.log(text);
await mcpClient.close();

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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 Spoonacular Wine. 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 Pairing & Sommelier MCP in Vercel AI SDK

The server provides several tools, like `get_wine_pairing` and `recommend_wines`. You can call these sequentially to build a complete workflow: first recommend wines based on a dish, then use the wine's name to get its description. All results stream back in real time.

Yes. The `get_wine_pairing` tool provides specific product suggestions, including the current price and a rating for those bottles. This makes it useful for direct sales integrations.

This server touches public wine pairing data, including specific product names, ratings, and prices. It requires no sensitive user or financial information to run its tools.

You'll use the `get_dish_for_wine` tool. Just pass in the wine type—like Merlot or Riesling—and your agent will output several expert food pairing suggestions immediately.

You can build conversational UIs where users ask questions, and the results from `get_wine_pairing` appear as a flowing response. Since it streams, your app feels fast and highly responsive.

Use it with your favorite AI tools

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

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