iFood MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same iFood integration everywhere
Built-in streaming UI primitives let you display iFood tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query iFood in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate iFood tools and return structured JSON responses to any frontend
Chatbots with tool use: embed iFood capabilities into conversational interfaces with streaming responses and tool call visibility
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:
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
get_business_hours
Use this to review or verify the current schedule before making changes. Get operating hours for an iFood store
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
get_logistics
Use this to track order fulfillment and coordinate with delivery personnel. Get logistics/delivery information for an iFood order
get_order_details
Use this to review order contents before accepting or preparing. Get complete details of a specific iFood order
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
get_store_details
Use this to review store configuration before making updates. Get detailed information about a specific iFood store
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
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
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
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.
"Show me all pending orders and accept them automatically"
"Update the price of 'Combo Burger Especial' to R$32.90 and mark it as unavailable until tomorrow"
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpiFood + Vercel AI SDK FAQ
Common questions about integrating iFood MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect iFood with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
