How many restaurants use Toast?

Toast powers 112,000+ restaurants in the US — from food trucks and cafes to fine dining and multi-unit chains. It's the #1 restaurant POS platform.

Toast MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Toast
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Toast through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Toast "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Toast?"
    )
    print(result.data)

asyncio.run(main())

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About Toast MCP Server

Connect your Toast restaurant to any AI agent and transform how you run your business.

Pydantic AI validates every Toast tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Orders — Browse today's sales, drill into check details, track voids and comps
Menus — Full menu engineering: items, prices, modifiers, and availability
Labor — Employee rosters, clock-in/out, overtime, and labor cost tracking
Tables — Floor plan, seating status, and section management
Payments — Cash, card, tips, and settlement tracking
Revenue Centers — Bar vs dining room vs patio sales segmentation

The Toast MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Toast to Pydantic AI via MCP

Follow these steps to integrate the Toast MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Toast with type-safe schemas

Why Use Pydantic AI with the Toast MCP Server

Pydantic AI provides unique advantages when paired with Toast through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Toast integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Toast connection logic from agent behavior for testable, maintainable code

Toast + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Toast MCP Server delivers measurable value.

Type-safe data pipelines: query Toast with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Toast tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Toast and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Toast responses and write comprehensive agent tests

Toast MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Toast to Pydantic AI via MCP:

get_order

Deep drill into a single check. Get order details

get_restaurant

Get restaurant info

list_dining_options

With behavior settings and online ordering config. List dining options

list_employees

For labor management. List employees

list_menu_items

"What is our most expensive dish?" List menu items

list_menus

With categories, availability windows, and ordering channels. List restaurant menus

list_orders

THE core tool — "What sold today?" List restaurant orders

list_revenue_centers

Used for sales segmentation and reporting. List revenue centers

list_tables

For floor plan and seating management. List restaurant tables

list_time_entries

For payroll and scheduling. List time entries

Example Prompts for Toast in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Toast immediately.

"What were our total sales yesterday and what was the most popular item?"

"Check today's gross sales across all our restaurant locations."

"Update the price of 'Avocado Toast' on the brunch menu to $12.50."

Troubleshooting Toast MCP Server with Pydantic AI

Common issues when connecting Toast to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Toast + Pydantic AI FAQ

Common questions about integrating Toast MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Toast MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.