How to Use the InnoVint MCP in Vercel AI SDK

Stream real-time InnoVint production data directly into your Vercel AI SDK interface for live winery monitoring.

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Connect InnoVint MCP to Vercel AI SDK

Create your Vinkius account to connect InnoVint 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 InnoVint with Vercel AI SDK

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Live lot tracking in AI SDK

Connect your frontend to `get_lot` and `search_lots` to pull current volume and composition data. Your users see inventory counts change the moment they hit the database. Stop relying on stale reports. This setup pushes live production metrics into your UI components as the AI processes requests.

Visual vessel management via MCP Server

Map your cellar layout by calling `list_vessels` and `get_vessel`. Your application renders real-time fill levels and tank locations without manual data entry. Build custom dashboards that display current vessel contents. It turns raw production data into clear, actionable visuals for your winemaking team.

Instant lab analysis display

Feed `list_analyses` directly into your charts. The AI client retrieves specific chemistry trends and displays them instantly within your React or Next.js app. Keep your team updated on volatile acidity or SO2 levels without leaving the browser. You get clean data flow from the lab bench to the user interface.

Setup guide

Set up InnoVint 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 InnoVint 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 InnoVint 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 InnoVint. 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 InnoVint 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 InnoVint MCP in Vercel AI SDK

You connect via the MCP transport layer. Simply point your client to the server URL and pass the tools into your streamText function.

Yes. Since the tools return data directly to the stream, your frontend components update as the AI fetches the latest lot or vessel information.

It provides the data as fast as the API responds. Your UI handles the rendering, so you control how the information appears.

The server uses standard protocols for reliable communication. Just ensure your environment variables hold the correct endpoint tokens.

We use scoped tokens for every request. Your winery chemistry and lot records remain isolated from other accounts at all times.

Use it with your favorite AI tools

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

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