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iFood MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect iFood through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using iFood, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
iFood
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About iFood MCP Server

What you can do

Transform your iFood merchant operations with AI-powered automation. Your agents can:

The Vercel AI SDK gives every iFood tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • Monitor incoming orders in real-time with status tracking
  • Accept and progress orders through preparation workflow
  • Manage restaurant catalogs — update prices, availability, descriptions
  • Review order details including customer info, items, and totals
  • Configure operating hours for each day of the week
  • Track delivery logistics and assign drivers to orders
  • View store information and configuration across all locations

The iFood MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect iFood to Vercel AI SDK via MCP

Follow these steps to integrate the iFood MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 11 tools from iFood and passes them to the LLM

Why Use Vercel AI SDK with the iFood MCP Server

Vercel AI SDK provides unique advantages when paired with iFood through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same iFood integration everywhere

03

Built-in streaming UI primitives let you display iFood tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

iFood + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the iFood MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query iFood in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate iFood tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed iFood capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with iFood through natural language queries

iFood MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect iFood to Vercel AI SDK via MCP:

01

assign_driver

Requires order ID and driver ID. Use this to manage your own delivery fleet and coordinate order fulfillment. Assign a delivery driver to an iFood order

02

get_business_hours

Use this to review or verify the current schedule before making changes. Get operating hours for an iFood store

03

get_catalog

Use this to review menu structure, check item availability, or prepare updates to pricing or descriptions. Get the menu catalog for an iFood store

04

get_logistics

Use this to track order fulfillment and coordinate with delivery personnel. Get logistics/delivery information for an iFood order

05

get_order_details

Use this to review order contents before accepting or preparing. Get complete details of a specific iFood order

06

get_orders

Can filter by status: PENDING, ACCEPTED, PREPARING, READY, DISPATCHED, DELIVERED, CANCELLED. Returns order number, customer info, items, totals, and timestamps. Use this to monitor order flow and track pending orders. List orders for an iFood store

07

get_store_details

Use this to review store configuration before making updates. Get detailed information about a specific iFood store

08

get_stores

Returns store IDs, names, addresses, and operational status. Use this first to get store IDs needed for other operations like fetching orders or managing catalogs. List all stores associated with the iFood merchant account

09

update_business_hours

Requires a schedule object with open/close times for each day. Use this to change store hours, add weekend schedules, or set holiday closures. The schedule should be a JSON object with day keys (monday, tuesday, etc.) and arrays of {start: "HH:MM", end: "HH:MM"} objects. Update operating hours for an iFood store

10

update_catalog_item

Only pass the fields you want to change. Common use: update prices, toggle availability, or change descriptions. Requires store ID and item ID. Update a menu item in the iFood store catalog

11

update_order_status

Common workflow: PENDING -> ACCEPTED -> PREPARING -> READY -> DISPATCHED -> DELIVERED. Can also set to CANCELLED if needed. Use this to progress orders through the fulfillment pipeline. Update the status of an iFood order

Example Prompts for iFood in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with iFood immediately.

01

"Show me all pending orders and accept them automatically"

02

"Update the price of 'Combo Burger Especial' to R$32.90 and mark it as unavailable until tomorrow"

03

"Change my store hours to open at 11am and close at 11pm every day this week"

Troubleshooting iFood MCP Server with Vercel AI SDK

Common issues when connecting iFood to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

iFood + Vercel AI SDK FAQ

Common questions about integrating iFood MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect iFood to Vercel AI SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.