How to Use the Wine-Searcher MCP in Vercel AI SDK

Q: How do I check wine details using Wine-Searcher and Vercel AI SDK?

You call the winecheck tool to handle all the heavy lifting. It searches for global pricing, critic scores, grape varieties, regions, and producer data from over 100,000 merchants worldwide. The results then stream back live into your Next.js or React frontend.

Q: Can I get grape variety info with Wine-Searcher and Vercel AI SDK?

Yep. Just use the grapeinfo tool. It's designed to pull detailed educational data on any specific grape you ask about, letting you display that information right in your component.

Q: Does Wine-Searcher and Vercel AI SDK handle pricing comparisons?

Absolutely. The marketprice tool lets you get global market pricing for a specific wine. This data streams into your UI, so the user sees exactly where they can find the best deal.

Q: What if I want to search for wines using Wine-Searcher and Vercel AI SDK?

You use searchwines. This tool returns matching results, complete with pricing, scores, and merchant availability. Since it's streaming, the user sees the full list appear instantly.

Display real-time wine data in your frontend UI using Vercel AI SDK.

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Connect Wine-Searcher MCP to Vercel AI SDK

Create your Vinkius account to connect Wine-Searcher 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-Searcher with Vercel AI SDK

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Show grape details live

You can query `grape_info` to instantly pull specific details on a grape variety. This streams directly into the user interface, letting visitors see exactly what they asked for about the grape. This is perfect when you want your app's frontend to feel dynamic, showing wine education results as they are processed by the AI client.

Search and display wines in real time

Use `search_wines` to find matches across a massive database. When running this through your Vercel AI SDK client, you get pricing, scores, and merchant availability streamed back instantly. The user never sees a loading spinner; they just watch the wine list populate on their screen as the search completes.

Check specific wine details live

Need to know if a wine fits the criteria? `wine_check` handles everything—grape types, regions, alcohol content, and global pricing. Streaming this complex data set means your user sees every detail appear in real time. It makes for an incredibly snappy product experience where deep research doesn't feel slow.

Setup guide

Set up Wine-Searcher 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-Searcher 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-Searcher transactions",
});

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

Get your connection token →

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 Vercel AI SDK

You call the `wine_check` tool to handle all the heavy lifting. It searches for global pricing, critic scores, grape varieties, regions, and producer data from over 100,000 merchants worldwide. The results then stream back live into your Next.js or React frontend.

Yep. Just use the `grape_info` tool. It's designed to pull detailed educational data on any specific grape you ask about, letting you display that information right in your component.

Absolutely. The `market_price` tool lets you get global market pricing for a specific wine. This data streams into your UI, so the user sees exactly where they can find the best deal.

You use `search_wines`. This tool returns matching results, complete with pricing, scores, and merchant availability. Since it's streaming, the user sees the full list appear instantly.

This MCP Server primarily touches public market data, including global pricing points, critic scores, grape varieties, and producer names. It never handles user account credentials or personal payment information.

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