How to Use the Uber Eats MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle Uber Eats data privacy?

Yes. The server exposes issue details through getorderissues. This tool provides descriptions, timestamps, and refund status, allowing your client to manage the review of financial dispute records.

Q: Do I need to know store IDs for Uber Eats with Vercel AI SDK?

Yep. You first call getstores to get all necessary external store IDs and operational statuses. These IDs are required when you use tools like getmenus or updatemenuitemavailability.

Q: If I encounter issues with Uber Eats using Vercel AI SDK, where do I check?

You use the getorderissues tool. It pulls issue descriptions, timestamps, and resolution status for specific orders. This is key when handling disputes.

See Uber Eats operations flow live in your UI with Vercel AI SDK.

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Connect Uber Eats MCP to Vercel AI SDK

Create your Vinkius account to connect Uber Eats 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 Uber Eats with Vercel AI SDK

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Live Order Status Updates via MCP Server

When you call `get_delivery_status`, the data streams directly into your React component. You don't have to wait for a loading spinner; users see the courier tracking updates appear in real time. This is perfect for building customer-facing order screens where showing live progress matters. It lets your client handle complex, asynchronous data feeds without breaking the user experience.

Inventory Management with Vercel AI SDK

Need to mark an item unavailable fast? Use `update_menu_item_availability` and see the status change stream into your UI immediately. Your client sends the required store ID and menu item ID, toggling availability for items like when ingredients run out. This real-time feedback loop means you can build better operational dashboards that react instantly to inventory changes.

Full Order Lifecycle Control with MCP Server

The `get_orders` tool lets your agent list all orders, filtering by status like PENDING or ACCEPTED. You'll get IDs, customer info, and timestamps back instantly via the stream. From that data, you can initiate actions: calling `accept_order` confirms preparation right away, or using `reject_order` handles rejections with specific reason codes.

Setup guide

Set up Uber Eats 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 Uber Eats 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 Uber Eats 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 Uber Eats. 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

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Common questions about Uber Eats MCP in Vercel AI SDK

Your agent calls the MCP client methods, and the results stream into your front end. This means complex actions—like checking multiple `get_orders` statuses—appear live to the user as they happen.

You can build an operational dashboard where users see order changes in real time. For example, calling `get_delivery_status` shows the tracking progress instantly, making the app feel fast and responsive.

Yes. The server exposes issue details through `get_order_issues`. This tool provides descriptions, timestamps, and refund status, allowing your client to manage the review of financial dispute records.

Yep. You first call `get_stores` to get all necessary external store IDs and operational statuses. These IDs are required when you use tools like `get_menus` or `update_menu_item_availability`.

You use the `get_order_issues` tool. It pulls issue descriptions, timestamps, and resolution status for specific orders. This is key when handling disputes.

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