Deliveroo MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Deliveroo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Deliveroo. "
            "You have 5 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Deliveroo?"
    )
    print(response)

asyncio.run(main())

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About Deliveroo MCP Server

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

LlamaIndex agents combine Deliveroo tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 5 tools from Deliveroo

Why Use LlamaIndex with the Deliveroo MCP Server

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

Data-first architecture: LlamaIndex agents combine Deliveroo tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Deliveroo tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Deliveroo, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Deliveroo tools were called, what data was returned, and how it influenced the final answer

Deliveroo + LlamaIndex Use Cases

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

Hybrid search: combine Deliveroo real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Deliveroo to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Deliveroo for fresh data

Analytical workflows: chain Deliveroo queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Deliveroo in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Deliveroo + LlamaIndex FAQ

Common questions about integrating Deliveroo MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Deliveroo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.