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How to Use the GoFood MCP in Pydantic AI

Type-safe GoFood management for Pydantic AI agents with runtime validation for every operation.

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Pydantic AI

Connect GoFood MCP to Pydantic AI

Create your Vinkius account to connect GoFood 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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Type-safe GoFood order processing

Every response from `accept_order` and `mark_order_prepared` is validated against your Pydantic models. If the API returns malformed data, the agent stops immediately. This prevents silent errors in your kitchen operations. You get a clean, validated state for every order status change you initiate.

Validated catalog updates in Pydantic AI

Use `update_menu_stocks` to push inventory changes with full schema enforcement. Pydantic AI confirms the data structure before it hits the GoFood backend. Retrieve data with `get_catalog` and trust the types. Your agent won't hallucinate fields that don't exist in your actual store menu.

Reliable GoFood promo management

Define your promo structures as Pydantic objects and pass them to `create_promo`. The MCP Server handles the actual call to the GoFood platform. List existing promotions with `list_promos` to avoid conflicts. This workflow keeps your store's active deals synchronized with your internal strategy.

Setup guide

Set up GoFood MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "gofood-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoFood / GoBiz. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GoFood MCP in Pydantic AI

The MCPToolset automatically maps server responses to your defined Pydantic models. If the data doesn't match your schema, the agent raises a validation error.
You can. Since the server runs externally, Pydantic AI connects via HTTP or SSE to perform operations on your linked outlets.
It is. The framework is model-agnostic, meaning you can use OpenAI, Anthropic, or local models to drive your GoFood operations.
Pydantic AI catches transport-level failures. You can wrap your tool calls in standard Python try-except blocks to manage flow control.
Your catalog data is validated locally within your agent's runtime. We enforce strict type checking so that only verified data types are processed during your operations.

Start using the GoFood MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for GoFood. Just plug in your AI agents and start using Vinkius.

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