How to Use the MENU TIGER MCP in Pydantic AI

Q: How do I add MENU TIGER to my Pydantic AI agent?

Install pydantic-ai-slimmcp and initialize MCPToolset with your Vinkius server URL. Pass this toolset directly into your Agent's toolsets list.

Build type-safe restaurant agents using MENU TIGER and Pydantic AI to guarantee valid order processing.

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Connect MENU TIGER MCP to Pydantic AI

Create your Vinkius account to connect MENU TIGER 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 MENU TIGER with Pydantic AI

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Validate restaurant orders with Pydantic AI

The `get_order` tool retrieves detailed transaction payloads that are immediately validated against strict Python types. If the API returns unexpected data, Pydantic AI raises a validation error before your agent can act on it. This strict validation prevents silent failures when tracking orders. Your agent can safely run `list_orders` knowing that every order ID, price, and table number matches your exact schema.

Structure menu data reliably using this MCP Server

The `list_items` tool lists all available dishes, which Pydantic AI parses into strongly-typed Python objects. Your agent uses these objects to construct accurate responses about ingredients and pricing. When querying `get_item`, the framework ensures that fields like price or category match the expected types. This prevents your agent from hallucinating data or passing bad parameters back to your application.

Manage digital menu categories safely

The `list_categories` tool retrieves the organizational structure of your restaurant's digital menus. Your agent uses this tool to understand how dishes are grouped before making modifications. Because Pydantic AI is model-agnostic, you can use any LLM to execute tools like `list_menus` or `get_menu`. The framework guarantees that the data returned to the model is clean and structured, regardless of the backend LLM.

Setup guide

Set up MENU TIGER 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": {
        "menu-tiger-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MENU TIGER. 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.

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Common questions about MENU TIGER MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` with your Vinkius server URL. Pass this toolset directly into your Agent's `toolsets` list.

The framework will immediately raise a validation error at runtime. This prevents your agent from processing corrupt menu data or making incorrect assumptions.

Yes. The tool parameters are validated against the expected schema before the request is sent, ensuring only valid status strings are passed to the API.

No, Vinkius hosts the MCP Server for you. You only need to pass the hosted HTTP endpoint to your Pydantic AI toolset configuration.

All data validation happens in your local runtime environment. Vinkius handles the API transit through encrypted, ephemeral channels, meaning your customer orders are never stored or inspected.

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