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Wine Pairing & Sommelier MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wine Pairing & Sommelier through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Wine Pairing & Sommelier, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Wine Pairing & Sommelier
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Wine Pairing & Sommelier MCP Server

The Wine Pairing & Sommelier MCP Server transforms your AI agent into a knowledgeable wine expert. Powered by comprehensive wine data, it handles everything from food-wine pairing to specific bottle recommendations.

The Vercel AI SDK gives every Wine Pairing & Sommelier tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

Core Capabilities

  • Food → Wine — Enter any dish or ingredient and get expert wine pairing suggestions.
  • Wine → Dish — Already have a wine? Discover the perfect dishes to pair with it.
  • Wine Descriptions — Learn about any wine variety: flavor profile, origin, and characteristics.
  • Product Recommendations — Get specific bottle suggestions with ratings, prices, and purchase links.
Uses the Spoonacular API key (same as Spoonacular MCP). An essential companion for hospitality, dining, and lifestyle AI applications.

The Wine Pairing & Sommelier MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Wine Pairing & Sommelier to Vercel AI SDK via MCP

Follow these steps to integrate the Wine Pairing & Sommelier MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 4 tools from Wine Pairing & Sommelier and passes them to the LLM

Why Use Vercel AI SDK with the Wine Pairing & Sommelier MCP Server

Vercel AI SDK provides unique advantages when paired with Wine Pairing & Sommelier through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Wine Pairing & Sommelier integration everywhere

03

Built-in streaming UI primitives let you display Wine Pairing & Sommelier tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Wine Pairing & Sommelier + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Wine Pairing & Sommelier MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Wine Pairing & Sommelier in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Wine Pairing & Sommelier tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Wine Pairing & Sommelier capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Wine Pairing & Sommelier through natural language queries

Wine Pairing & Sommelier MCP Tools for Vercel AI SDK (4)

These 4 tools become available when you connect Wine Pairing & Sommelier to Vercel AI SDK via MCP:

01

get_dish_for_wine

g. merlot, chardonnay, pinot noir, riesling) and get expert dish pairing recommendations. Find the perfect dish to pair with a wine

02

get_wine_description

Get a detailed description of a wine type

03

get_wine_pairing

g. steak, salmon, pasta, chocolate) and get expert wine pairing recommendations with specific product suggestions, ratings, and prices. Find the perfect wine to pair with a dish or ingredient

04

recommend_wines

Get specific wine product recommendations with ratings and prices

Example Prompts for Wine Pairing & Sommelier in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wine Pairing & Sommelier immediately.

01

"What wine pairs best with grilled salmon?"

02

"What dishes pair well with an Argentinian Malbec?"

03

"Give me a description of a typical New Zealand Sauvignon Blanc."

Troubleshooting Wine Pairing & Sommelier MCP Server with Vercel AI SDK

Common issues when connecting Wine Pairing & Sommelier to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Wine Pairing & Sommelier + Vercel AI SDK FAQ

Common questions about integrating Wine Pairing & Sommelier MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Wine Pairing & Sommelier to Vercel AI SDK

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.