How to Use the iFood MCP in LangChain

Q: How do I monitor iFood orders within a LangChain agent?

Use the getorders tool to fetch your current queue. Your agent parses this list and decides whether to accept or update order statuses automatically.

Q: Can LangChain update my iFood menu automatically?

Yes. Call getcatalog to retrieve the current menu structure and use updatecatalogitem to push price or availability changes to your store.

Chain together your iFood operations inside LangChain. Automate dispatching and catalog updates with every step of your pipeline.

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Connect iFood MCP to LangChain

Create your Vinkius account to connect iFood to LangChain 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 iFood with LangChain

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Claude

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Build automated order pipelines in LangChain

Chain your logic to handle incoming orders without manual intervention. Use `get_orders` to pull the queue and feed the output directly into `update_order_status` to move items through your kitchen workflow. Connect these steps into a single agentic flow. You define the sequence, and your agent executes the logic based on real-time data from your store.

Direct store management for LangChain agents

Control your menu and business hours programmatically. Your agent uses `get_catalog` to audit item availability and `update_catalog_item` to adjust prices or descriptions instantly. Changes propagate to your storefront immediately. You monitor the state of your business through tool outputs rather than checking dashboards.

Real-time logistics via MCP Server tools

Track your fleet using `get_logistics` to coordinate deliveries. When an order is ready, the agent triggers `assign_driver` to push the task to your staff. This keeps your delivery operations moving. You get precise control over the handoff from the kitchen to the customer.

Setup guide

Set up iFood MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes iFood tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "ifood-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent iFood transactions"
    })
    print(result["messages"][-1].content)

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

Use the `get_orders` tool to fetch your current queue. Your agent parses this list and decides whether to accept or update order statuses automatically.

Yes. Call `get_catalog` to retrieve the current menu structure and use `update_catalog_item` to push price or availability changes to your store.

It does. Each tool call functions as a step in your chain. You can pass the output from `get_store_details` into subsequent logistics or inventory tools.

LangChain captures the error and lets you define retry logic or fallback paths. You handle exceptions within your agent's reasoning loop.

Your data remains within the session. The MCP server processes order IDs and store details locally, ensuring sensitive merchant info isn't exposed to external logs.

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