How to Use the VineRadar MCP in Vercel AI SDK

Q: How do I search for vineyards using VineRadar and the Vercel AI SDK?

You call searchvineyards with a location query. Your AI client streams the resulting list of vineyard records into your UI in real time, letting users see options immediately.

Q: Can I get detailed wine information using VineRadar and the Vercel AI SDK?

Yep. Just use getwinedetails with a specific ID. The full record streams directly to your frontend, so you can display all the rich tasting notes without any lag.

Q: How does the Vercel AI SDK handle multiple searches?

You can sequence calls—say, first searchvineyards then getwinedetails. The streaming nature ensures that data from both steps appears sequentially in your user interface.

Q: Does this MCP Server support reading vineyard location data?

Absolutely. Use the searchvineyards tool to query records based on geography, and the results stream back instantly for display.

Stream data live into your UI with the Vercel AI SDK and MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect VineRadar MCP to Vercel AI SDK

Create your Vinkius account to connect VineRadar 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.

GDPR Free for Subscribers

Setup VineRadar with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time vineyard lookup via the MCP Server

You need to show users vine details instantly. Use `get_vineyard_details` to grab full information for a specific ID. The results stream right into your React component, so the user sees the data appear live—no waiting on a loading spinner. This works perfectly in an Edge Function setup. Your AI client fetches the vineyard data and streams it directly into the frontend, making the whole experience feel fast and native.

Search for wines as they type with Vercel AI SDK

Need to power a dynamic search bar? Call `search_wines` using keywords or names. The data flows through your Vercel AI SDK client and streams results in real-time. This mechanism is great because it keeps the user engaged; they see suggestions pop up instantly as the underlying MCP Server returns records.

Check API status using VineRadar's `check_api_status`

Before any critical action, you gotta know if the source is live. Call `check_api_status` to confirm the entire VineRadar API is operational. Your AI client captures this simple status check and streams a clean 'operational' or 'down' message right into your UI, allowing you to display immediate system feedback.

Setup guide

Set up VineRadar 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 VineRadar 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 VineRadar 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 VineRadar. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect VineRadar now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about VineRadar MCP in Vercel AI SDK

You call `search_vineyards` with a location query. Your AI client streams the resulting list of vineyard records into your UI in real time, letting users see options immediately.

This MCP Server handles vineyard location data and wine varietal lists. Specifically, it processes results from `search_vineyards` and `list_wine_varietals`.

Yep. Just use `get_wine_details` with a specific ID. The full record streams directly to your frontend, so you can display all the rich tasting notes without any lag.

You can sequence calls—say, first `search_vineyards` then `get_wine_details`. The streaming nature ensures that data from both steps appears sequentially in your user interface.

Absolutely. Use the `search_vineyards` tool to query records based on geography, and the results stream back instantly for display.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python