Deliveroo MCP. Manage the full order lifecycle from acceptance to prep.
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Deliveroo MCP handles full restaurant order management. Accept incoming deliveries, track preparation stages from kitchen start to ready for collection, and sync Point-of-Sale data—all directly through your AI agent.
It gives managers real-time control over the entire order flow without switching screens.
What your AI agents can do
Create prep stage
Updates the internal preparation status of a confirmed order (e.g., from 'in_kitchen' to 'ready_for_collection').
Create sync status
Reports whether or why a payment injection failed or succeeded at your point-of-sale system.
Get order
Retrieves specific details and metadata for a single, given order ID.
Fetch a list of all current deliveries or pull specific metadata for a single order ID.
Change the official status of an incoming order immediately upon receipt to confirm acceptance.
Advance an order's internal state from prep work through to ready for collection by riders.
Inform the delivery platform whether a payment injection succeeded or failed at your point of sale system.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Deliveroo: 5 Tools for Order Management
These five tools let you interact with the Deliveroo platform to manage order lifecycle events, from listing orders to syncing payment statuses.
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Start using Deliveroo on Vinkius019e3888create prep stage
Updates the internal preparation status of a confirmed order (e.g., from 'in_kitchen' to 'ready_for_collection').
019e3888create sync status
Reports whether or why a payment injection failed or succeeded at your point-of-sale system.
019e3888get order
Retrieves specific details and metadata for a single, given order ID.
019e3888get orders
Lists all live and pending Deliveroo orders for the restaurant location.
019e3888update order status
Accepts, rejects, or confirms an incoming Deliveroo order within the necessary timeframe.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Keeping track of live deliveries is a constant mess.
Right now, accepting a delivery means jumping between your tablet interface and your internal tracking sheet. You confirm receipt on the tablet, then you have to physically go update the kitchen board. If there's a POS failure, you stop everything and call someone, repeating data into multiple systems just to keep everyone informed.
With this MCP, all that happens through natural conversation. Your agent manages the entire sequence: it tracks the live order status, updates the prep stage when the food is done, and even logs payment errors—all without a single manual click or tab switch.
Deliveroo Order Management with Deliveroo MCP
You eliminate the need to manually confirm status changes. You don't have to worry about if your acceptance was logged, or if your preparation stage update reached the right people. The agent handles this logging automatically.
What’s different now is that you gain a single source of truth for operational data. It’s immediate, auditable, and accessible through simple conversation.
What you can do with this MCP connector
Managing a busy restaurant's delivery intake requires constant attention across multiple systems: the tablet, the POS terminal, and the kitchen board. This MCP connects your Deliveroo account to any compatible client so you can handle the full lifecycle of an order using natural language. You don’t need to jump between tabs or manually update statuses.
Your agent handles everything from listing live orders to confirming receipt and even reporting out-of-stock items at the POS level. When you connect this via Vinkius, your AI agent becomes a single operational dashboard for your entire kitchen flow. It allows you to query historical data by date range for performance checks or simply update an order's stage when it moves from 'in_kitchen' to ready for pick up.
It keeps the whole operation moving without human error.
019e3888-df2a-70fe-9657-25e8aa81e2c2 
How Deliveroo MCP Works
- 1 Subscribe to this MCP and enter your Deliveroo API Client ID and Secret.
- 2 Connect your preferred AI client (Claude, Cursor, etc.) through Vinkius.
- 3 Use natural language commands in your agent to list orders, update stages, or check POS sync status.
The bottom line is: you tell the system what needs to happen, and it executes the required order updates with a single prompt.
Who Is Deliveroo MCP For?
This MCP is for restaurant managers and operations leads who are tired of juggling multiple tablets and systems just to keep track of incoming orders. If your workflow involves constant status changes, this saves you from manual errors and missed deadlines.
Uses the MCP to monitor all live order flows, confirming acceptance or rejecting requests immediately when necessary.
Calls tools like create_prep_stage to update the physical status of an order as it moves through prep work and becomes ready for pickup.
Integrates delivery workflows into custom dashboards or internal monitoring tools using natural language queries over historical data.
What Changes When You Connect
- Get immediate visibility into all deliveries. Use
get_ordersto list every active order without opening a single dashboard tab. - Handle time-sensitive intake. When an order arrives, use
update_order_statusto accept or reject it quickly, preventing operational delays. - Track prep progress accurately. Call
create_prep_stagethe moment items are finished, keeping both riders and customers informed instantly. - Maintain financial records. Use
create_sync_statusto ensure your POS system reports payment failure reasons directly back to Deliveroo. - Audit performance easily. Query historical data using the MCP to check order volumes by brand or date range.
Real-World Use Cases
New Day, New Orders
A manager sees a sudden influx of orders and needs to know how many are live. They ask their agent to 'List all active deliveries for us today.' The agent runs get_orders and provides an immediate count and list, letting the manager prioritize acceptance.
Kitchen Bottleneck
A food prep worker finishes a large order. Instead of yelling or manually updating a whiteboard, they tell their agent to 'Mark order #ABC-1 as ready for collection.' The agent calls create_prep_stage, notifying everyone involved.
POS Failure
The POS terminal fails to register payment for an accepted order. Instead of calling tech support, the manager tells their agent 'Report a sync failure for #XYZ-1.' The agent calls create_sync_status with the correct error code.
End-of-Week Report
An operations team member needs to audit last week's performance. They ask their agent to 'Show me all orders received from Brand X between Monday and Wednesday.' The agent queries historical data, saving hours of manual spreadsheet work.
The Tradeoffs
Ignoring Time Limits
The manager ignores the 10-minute rule and tries to accept an order from a different terminal later. The system throws an error because the window closed.
→
Always use update_order_status immediately when an order comes in. It must be called quickly—within minutes—to confirm receipt.
Manual Status Updates
The kitchen lead writes 'Ready' on the board, but forgets to tell the rider or update the system.
→
Use create_prep_stage right after prep is complete. This guarantees that the status change is logged and visible across all connected systems.
Mixing Sync Checks
The user tries to check order details (get_order) before confirming if the payment was processed, leading to incomplete data.
→
First, confirm transaction status using create_sync_status. Then, use get_order to pull complete details only when you know the financial state is resolved.
When It Fits, When It Doesn't
Use this MCP if your core problem is managing physical order flow and its associated transactional states. You need a system that tracks sequence: acceptance -> prep status -> payment confirmation. Don't use it if all you need is to read data; simple retrieval tools are fine for reading history. If you only need basic listing, get_orders handles that. But when the process involves state changes—like confirming an order or marking it 'ready'—you must use this full set of tools because they enforce the critical operational sequence.
Common Questions About Deliveroo MCP
How do I check if an order was accepted using the `update_order_status` tool? +
The update_order_status tool handles acceptance. You call it immediately after receiving the delivery to confirm that your restaurant is taking the job and it's active in your system.
Can I list all orders or just one using the Deliveroo MCP? +
The MCP provides two options: get_orders lets you see a full list of live deliveries. Use get_order if you already know the specific ID and only need details on that single order.
Does `create_prep_stage` update customer visibility? +
Yes, calling create_prep_stage signals the system (and thus the platform) that the order is ready for collection. This keeps riders and customers informed about the current status.
What do I use if the payment fails? Should I call `create_sync_status`? +
Yes, you must use create_sync_status. It sends a specific update to Deliveroo detailing that the POS injection failed and providing the reason (like 'items_out_of_stock').
What do I need to know about rate limits when calling `get_orders`? +
The Deliveroo MCP adheres to standard API rate limits. If you make too many calls in a short period, your agent will receive a 429 error. It's best practice to batch requests or wait a few seconds between multiple list operations.
If I miss the 10-minute window for `update_order_status`, can I still accept or reject the order? +
No, timely execution is critical. The update_order_status tool must be called within a short timeframe of receiving the request; otherwise, the status update will fail due to time expiration.
How do I ensure data accuracy when calling `create_prep_stage`? +
You must supply both the unique Order ID and the precise new stage identifier. Using an incorrect stage value (e.g., 'in_kitchen' instead of 'ready_for_collection') will cause the update to fail.
What is the required format for filtering historical data when using `get_orders`? +
You pass specific parameters like brand names or date ranges directly into the tool call. This allows you to narrow down large datasets, avoiding a massive list dump.
Can I reject an order if an ingredient is unavailable? +
Yes. Use the update_order_status tool with the status 'rejected' and provide 'ingredient_unavailable' as the reason.
How do I notify the rider that the food is ready for collection? +
You can use the create_prep_stage tool and set the stage to 'ready_for_collection'. This updates both Deliveroo and the rider.
Is it possible to see only the orders that are currently active? +
Yes, use the get_orders tool and set the live_orders parameter to true to filter for ongoing deliveries.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.