How to Use the GoTab MCP in Vercel AI SDK

Q: How do I configure GoTab with Vercel AI SDK?

Install ai and @ai-sdk/mcp first. Next, pass your GoTab MCP Server endpoint to createMCPClient and register the tools with your streaming function.

Q: How does Vercel AI SDK handle GoTab order polling?

You don't poll manually. The SDK streams the output of listorders straight to the frontend, updating active kitchen tickets as they land.

Q: Do I need to close the connection after fetching GoTab items?

Always call mcpClient.close() once your stream finishes. This prevents open connections from hanging on your serverless instances.

Run real-time restaurant dashboards in Next.js where GoTab menus and orders stream straight to your Vercel AI SDK UI.

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Connect GoTab MCP to Vercel AI SDK

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

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Live Menu Sync via Vercel AI SDK

`list_menus` acts as the direct data pipeline for your streaming Vercel AI SDK menu interfaces. Your Next.js client grabs the active GoTab menu list and pushes the raw structure straight into your frontend components. You use `list_categories` alongside `list_items` to populate React views on the fly. Because the Vercel AI SDK handles raw streams, customers see item descriptions and prices populate card by card, killing the typical loading spinner lag.

Instant Status Updates

`update_item_status` changes a dish availability on your digital board the second a kitchen running out of ingredients triggers it. Your Vercel AI SDK agent processes the command and updates the state instantly. Immediate updates on the client side occur because the SDK pipes the execution results straight to the user's screen. If a manager flags an item as sold out, the UI reflects that change before the next render cycle.

Real-Time Tab Tracking

`get_tab` pulls active customer bills directly into your web view during live chat sessions. The Vercel AI SDK agent retrieves the current balance and itemized list without making you write custom API polling loops. Combining `list_tabs` with `get_order` lets your support interface show open tickets side-by-side. The MCP server streams these GoTab updates live, so hosts see changes as guests add drinks in real time.

Setup guide

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

Install `ai` and `@ai-sdk/mcp` first. Next, pass your GoTab MCP Server endpoint to `createMCPClient` and register the tools with your streaming function.

Yes, the server runs inside Vercel's lightweight edge environment. It connects directly to your GoTab endpoints without cold starts slowing down menu queries.

You don't poll manually. The SDK streams the output of `list_orders` straight to the frontend, updating active kitchen tickets as they land.

Always call `mcpClient.close()` once your stream finishes. This prevents open connections from hanging on your serverless instances.

Your GoTab order details and menu structures stay inside V8 isolate sandboxes. Vinkius hosts the MCP server in a zero-trust environment, keeping restaurant operations data encrypted so your API keys never leak to the client browser.

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