Deliveroo MCP Server for LangChainGive LangChain instant access to 5 tools to Create Prep Stage, Create Sync Status, Get Order, and more

Name: Deliveroo
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Deliveroo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Deliveroo MCP Server for LangChain is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "deliveroo": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Deliveroo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Deliveroo MCP Server

Connect your Deliveroo restaurant account to any AI agent to streamline your kitchen operations and order management through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Deliveroo through native MCP adapters. Connect 5 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.

What you can do

Order Lifecycle — List live orders, fetch specific order metadata, and accept or reject incoming requests within the required timeframe.
Preparation Tracking — Update order stages from 'in_kitchen' to 'ready_for_collection' to keep customers and riders informed in real-time.
POS Synchronization — Notify Deliveroo of successful or failed POS injections to ensure your tablet and kitchen systems stay perfectly in sync.
Operational Insights — Query historical orders by brand, restaurant, or date range to analyze performance without leaving your workspace.

The Deliveroo MCP Server exposes 5 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Deliveroo tools available for LangChain

When LangChain connects to Deliveroo through Vinkius, your AI agent gets direct access to every tool listed below — spanning food-delivery, restaurant-management, order-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create prep stage on Deliveroo

Inform Deliveroo of order preparation progress

create

Create sync status on Deliveroo

Notify Deliveroo of POS injection status

get

Get order on Deliveroo

Get details for a single Deliveroo order

get

Get orders on Deliveroo

List Deliveroo orders

update

Update order status on Deliveroo

Must be called within ~10 minutes of receiving a new order. Accept, reject, or confirm a Deliveroo order

Connect Deliveroo to LangChain via MCP

Follow these steps to wire Deliveroo into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 5 tools from Deliveroo via MCP

Why Use LangChain with the Deliveroo MCP Server

LangChain provides unique advantages when paired with Deliveroo through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Deliveroo MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Deliveroo queries for multi-turn workflows

Deliveroo + LangChain Use Cases

Practical scenarios where LangChain combined with the Deliveroo MCP Server delivers measurable value.

RAG with live data: combine Deliveroo tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Deliveroo, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Deliveroo tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Deliveroo tool call, measure latency, and optimize your agent's performance

Example Prompts for Deliveroo in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Deliveroo immediately.

"List all live orders for restaurant ID 'REST123'."

"Accept order 'ORD-999' and set its stage to 'in_kitchen'."

"Notify Deliveroo that order 'ORD-456' failed to sync with the POS because items are out of stock."

Troubleshooting Deliveroo MCP Server with LangChain

Common issues when connecting Deliveroo to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Deliveroo + LangChain FAQ

Common questions about integrating Deliveroo MCP Server with LangChain.

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.