Bring Food Delivery
to OpenAI Agents SDK
Learn how to connect Deliveroo to OpenAI Agents SDK and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Deliveroo MCP Server?
Connect your Deliveroo restaurant account to any AI agent to streamline your kitchen operations and order management through natural language.
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.
How it works
- Subscribe to this server
- Enter your Deliveroo API Client ID and Secret
- Start managing your restaurant flow from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Restaurant Managers — monitor live order flows and update kitchen statuses without juggling multiple tablets.
- Operations Teams — audit order history and sync failures across multiple brands or locations.
- Developers — integrate delivery workflows into internal tools or custom dashboards using natural language queries.
Built-in capabilities (5)
Inform Deliveroo of order preparation progress
Notify Deliveroo of POS injection status
Get details for a single Deliveroo order
List Deliveroo orders
Must be called within ~10 minutes of receiving a new order. Accept, reject, or confirm a Deliveroo order
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 5 tools from Deliveroo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Deliveroo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Deliveroo in OpenAI Agents SDK
Deliveroo and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Deliveroo to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Deliveroo in OpenAI Agents SDK
The Deliveroo 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. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Deliveroo for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Deliveroo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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