How to Use the Deliveroo MCP in LangChain

Q: How do I connect Deliveroo to LangChain?

Install langchain-mcp-adapters and initialize a MultiServerMCPClient. Pass the Vinkius endpoint URL and call client.gettools() to bind them to your agent.

Q: Can LangChain agents accept Deliveroo orders automatically?

Yes, agents can call updateorderstatus to accept or reject deliveries. You must design your chain to execute this within the required 10-minute window.

Q: Does the Deliveroo MCP Server support persistent context?

By default, the connection is stateless. Call client.session() to maintain context across multiple order updates in your workflow.

Connect LangChain agents to Deliveroo for automated order acceptance and multi-step POS synchronization.

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Connect Deliveroo MCP to LangChain

Create your Vinkius account to connect Deliveroo 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 Deliveroo with LangChain

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Claude

Perplexity

Accept Deliveroo orders with LangChain ReAct agents

`get_orders` and `update_order_status` let your LangChain agents fetch pending deliveries and accept them automatically. You write ReAct prompts that instruct the agent to poll for new requests on a set interval. Once a match appears, the framework executes the acceptance call before the ten-minute timeout expires. LangSmith traces the exact latency and token usage for every single decision your pipeline makes.

Chain preparation stages to database triggers

The `create_prep_stage` tool allows your reasoning pipelines to update kitchen progress dynamically. Developers chain this operation directly after a successful order confirmation. Output from the acceptance step feeds straight into the prep stage trigger. Your agent decides when to fire the next update based on intermediate database lookups.

Sync POS status via Deliveroo MCP Server

`create_sync_status` notifies the platform whether POS injection succeeded or failed. This Deliveroo MCP Server exposes the exact endpoints needed for multi-step error handling. If a database write fails, your LangChain pipeline catches the error and triggers a manual review alert. You build the logic, and the server handles the underlying HTTP requests.

Setup guide

Set up Deliveroo 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 Deliveroo 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({
    "deliveroo-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 Deliveroo 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 Deliveroo. 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 Deliveroo MCP in LangChain

Install `langchain-mcp-adapters` and initialize a `MultiServerMCPClient`. Pass the Vinkius endpoint URL and call `client.get_tools()` to bind them to your agent.

Yes, agents can call `update_order_status` to accept or reject deliveries. You must design your chain to execute this within the required 10-minute window.

Use LangSmith tracing to monitor every tool invocation. The dashboard shows exact inputs, outputs, and execution times for all MCP operations.

By default, the connection is stateless. Call `client.session()` to maintain context across multiple order updates in your workflow.

This integration reads raw order details and POS injection statuses. Vinkius runs the connection inside a V8 Isolate Sandbox, ensuring memory drops immediately after your agent finishes the request.

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