How to Use the Uber Eats MCP in Pydantic AI

Q: How does Pydantic AI help me manage Uber Eats orders?

It forces type safety. When the agent calls getorder, it validates that the returned fields—like item IDs and totals—are exactly what it expects. This eliminates silent data corruption.

Q: What should I use if I need to check multiple Uber Eats locations with Pydantic AI?

You start by calling getstores to list all external IDs and business details. You must pass these verified store IDs into any subsequent operations, like checking menus.

Q: When using Pydantic AI for Uber Eats, what is the best way to handle menu updates?

You use updatemenuitemavailability. This tool requires both an external store ID and a specific menu item ID, ensuring you only modify things that exist within your defined system.

Q: Can I use Pydantic AI to track Uber Eats delivery status?

Absolutely. The agent uses getdeliverystatus to get real-time tracking updates. This allows you to answer customer questions accurately without having to call multiple systems.

Build reliable Uber Eats management with Pydantic AI: Type-safe, guaranteed data structures.

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Connect Uber Eats MCP to Pydantic AI

Create your Vinkius account to connect Uber Eats to Pydantic AI 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 Uber Eats with Pydantic AI

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Accept and reject orders safely with MCP Server

Your agent client uses `get_order` to get all the details of a specific order before accepting it. This ensures you verify special instructions and prep items correctly, preventing errors. When an order comes in, the agent can call `accept_order`. If something goes wrong—like missing ingredients—it triggers `reject_order`, forcing you to provide a reason code like 'item_unavailable'.

Manage store and delivery status with Uber Eats Pydantic AI

To track where everything is, the agent pulls real-time data using `get_delivery_status`. This keeps customers updated while you coordinate with couriers. Need to close out a successful order? The client executes `complete_order`, which confirms delivery and finalizes payment processing. It's reliable because every step must match a defined schema.

Review all Uber Eats activity via MCP Server

The agent can pull a complete list of orders using `get_orders`. This returns IDs, customer data, items ordered, and total values. Pydantic validation ensures that every single field returned is correctly typed. Use this tool to monitor your entire operation or review historical records with the option to filter by status.

Setup guide

Set up Uber Eats MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "uber-eats-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Uber Eats tools.",
)

result = await agent.run("List recent Uber Eats transactions")
print(result.output)

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Common questions about Uber Eats MCP in Pydantic AI

It forces type safety. When the agent calls `get_order`, it validates that the returned fields—like item IDs and totals—are exactly what it expects. This eliminates silent data corruption.

You start by calling `get_stores` to list all external IDs and business details. You must pass these verified store IDs into any subsequent operations, like checking menus.

You use `update_menu_item_availability`. This tool requires both an external store ID and a specific menu item ID, ensuring you only modify things that exist within your defined system.

The server touches order contents and special instructions. This includes specific item names, customer notes to the kitchen, and the total amount charged.

Absolutely. The agent uses `get_delivery_status` to get real-time tracking updates. This allows you to answer customer questions accurately without having to call multiple systems.

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