VineRadar MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect VineRadar through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 VineRadar, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 VineRadar MCP Server
Empower your AI agent to orchestrate your entire wine research and vineyard auditing workflow with VineRadar, the comprehensive platform for global wine data. By connecting VineRadar to your agent, you transform complex varietal searches into a natural conversation. Your agent can instantly search for specific wines, audit vineyard locations, and retrieve detailed vintage metadata without you ever touching a wine app. Whether you are building a personal cellar or conducting market research on varietals, your agent acts as a real-time sommelier, ensuring your data is always detailed and well-categorized.
The Vercel AI SDK gives every VineRadar tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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.
What you can do
- Wine Auditing — Search for thousands of wines by name or keyword and retrieve detailed metadata, including ratings and vintages.
- Vineyard Oversight — Browse vineyard profiles by location to maintain a clear view of regional wine production.
- Varietal Discovery — Query wine varietals to understand the technological and regional distribution of specific grape types instantly.
- Vintage Intelligence — Retrieve full details for specific wine IDs to assist in deep-dive collection audits.
- Market Monitoring — List all supported varietals in the VineRadar catalog to identify trending wine themes in real-time.
The VineRadar MCP Server exposes 6 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 VineRadar to Vercel AI SDK via MCP
Follow these steps to integrate the VineRadar MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from VineRadar and passes them to the LLM
Why Use Vercel AI SDK with the VineRadar MCP Server
Vercel AI SDK provides unique advantages when paired with VineRadar through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same VineRadar integration everywhere
Built-in streaming UI primitives let you display VineRadar tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
VineRadar + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the VineRadar MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query VineRadar in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate VineRadar tools and return structured JSON responses to any frontend
Chatbots with tool use: embed VineRadar capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with VineRadar through natural language queries
VineRadar MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect VineRadar to Vercel AI SDK via MCP:
check_api_status
Check if the VineRadar API is operational
get_vineyard_details
Get full details for a specific vineyard by ID
get_wine_details
Get full details for a specific wine by ID
list_wine_varietals
List all wine varietals supported by VineRadar
search_vineyards
Search for vineyards by location
search_wines
Search for wines by name or keyword
Example Prompts for VineRadar in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with VineRadar immediately.
"Search for 'Cabernet Sauvignon' wines using VineRadar."
"Find vineyards in 'Napa Valley'."
"What are the details for wine ID 12345?"
Troubleshooting VineRadar MCP Server with Vercel AI SDK
Common issues when connecting VineRadar to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVineRadar + Vercel AI SDK FAQ
Common questions about integrating VineRadar MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect VineRadar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect VineRadar to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.