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How to Use the Foodpanda MCP in Vercel AI SDK

Build React frontends where Foodpanda order tracking and menu updates stream live using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Foodpanda MCP to Vercel AI SDK

Create your Vinkius account to connect Foodpanda 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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Real-time Order Operations in React UI

`get_order_details` lets your Vercel AI SDK application pull active Foodpanda orders and render them live on your custom dashboard. Instead of showing static text, your UI streams the progress of individual meals directly to your restaurant staff. Managing kitchen rushes becomes straightforward when you use `update_order` to accept or reject incoming tickets. Because this MCP Server integration handles streaming tool calls natively, updates reflect instantly in the browser without requiring manual page refreshes.

Live Catalog Updates via Vercel AI SDK

`update_vendor_catalog` allows your Next.js app to push menu adjustments straight to Foodpanda while displaying the progress bar to your team. You avoid the typical black-box delay by exposing the background operations of `get_catalog_job` in real-time. Your digital menu stays accurate because `add_catalog_products` inserts new items directly into the marketplace database. This integration ensures that your front-end components render the success state the moment the platform confirms the upload.

Dynamic Store Control via MCP Server

`update_vendor_status` serves as the primary toggle inside this Foodpanda MCP Server to open or close your digital storefront instantly. Running this on Vercel Edge Functions means your store managers can pause incoming orders during a kitchen bottleneck with zero latency. You can check the current operational state of any branch by calling `get_vendor_status` directly from your serverless route. This keeps your custom management panel in sync with actual delivery availability across all locations.

Setup guide

Set up Foodpanda 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Foodpanda tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Foodpanda transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Foodpanda. 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 Foodpanda MCP in Vercel AI SDK

Call `get_order_details` within your `streamText` function to fetch live order states. The SDK streams the raw tool output straight to your custom UI components. This eliminates the need for polling or complex state management libraries.
Yes, you can execute `update_vendor_catalog` inside Edge runtimes by configuring the SDK to communicate with our MCP Server. This setup allows lightweight, fast-executing routes to handle large menu updates. The serverless functions run globally to keep your Foodpanda operations highly responsive.
You run `get_catalog_job` in a loop inside your streaming workflow to check on the progress of background menu imports. The SDK streams the intermediate status updates directly to your user interface. Your operators see the exact percentage of completion without waiting for the entire process to finish.
Use `upsert_promotion` to create discounts and stream the confirmation payload to your marketing team's dashboard. You can monitor the creation status using `get_promotion_job` to ensure the deal goes live. This approach connects your internal pricing tools directly to the storefront.
Our MCP Server processes your menu files, pricing sheets, and category structures inside a secure, ephemeral V8 isolate sandbox. No catalog data is stored on our servers after the execution finishes. Your credentials are fully encrypted and never exposed to the LLM or external third parties.

Start using the Foodpanda MCP today

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