Bring Food Delivery
to LangChain
Create your Vinkius account to connect iFood to LangChain and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the iFood MCP Server?
What you can do
Transform your iFood merchant operations with AI-powered automation. Your agents can:
- 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
How it works
- Connect your iFood merchant account via JWT token from iFood Developer Portal
- Ask your AI agent to check orders, update menus, or manage schedules
- Natural language commands replace manual app navigation
- Automate repetitive tasks like accepting orders and updating availability
Who is this for?
Essential for restaurant owners, food delivery managers, ghost kitchen operators, and multi-location food businesses using iFood. Let AI agents handle order monitoring, catalog maintenance, and schedule management. Perfect for businesses processing 20+ daily orders who want faster response times, reduced manual oversight, and streamlined operations across multiple store locations.
Built-in capabilities (11)
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
Use this to review or verify the current schedule before making changes. Get operating hours for an iFood store
Use this to review menu structure, check item availability, or prepare updates to pricing or descriptions. Get the menu catalog for an iFood store
Use this to track order fulfillment and coordinate with delivery personnel. Get logistics/delivery information for an iFood order
Use this to review order contents before accepting or preparing. Get complete details of a specific iFood order
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
Use this to review store configuration before making updates. Get detailed information about a specific iFood store
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
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
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
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
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with iFood through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine iFood MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across iFood queries for multi-turn workflows
iFood in LangChain
Why run iFood with Vinkius?
The iFood connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect iFood using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
iFood and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect iFood to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
iFood for LangChain
Every request between LangChain and iFood is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Does this work for iFood customers or only merchants?
This MCP server is designed exclusively for iFood merchants (restaurant owners). It uses the Merchant API to manage orders, catalogs, and operations. Consumer-side features require a different API. If you're a restaurant owner using iFood for delivery, this is for you.
Can I accept and prepare orders automatically with this MCP?
Yes! AI agents can update order status through the full workflow: PENDING -> ACCEPTED -> PREPARING -> READY -> DISPATCHED -> DELIVERED. You can build automation rules to accept orders instantly, notify kitchen staff, and track preparation times.
Does this support multiple restaurant locations?
Absolutely. The API returns all stores associated with your merchant account. Each tool requires a store_id parameter, so you can manage operations independently across all your restaurant locations. AI agents can list all your stores first to get their IDs.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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