How to Use the Vagaro MCP in Pydantic AI

Q: Can I check staff schedules in Vagaro using Pydantic AI?

Yes. The agent uses getstaffschedule to pull booked and available time slots, ensuring the output is reliable for scheduling purposes.

Q: Does the Pydantic AI setup support listing classes or products in Vagaro?

It does. You can use listclasses to check fitness schedules and listproducts for inventory, knowing the data types are correct every single time.

Manage your salon operations with Vagaro using Pydantic AI's type safety.

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Connect Vagaro MCP to Pydantic AI

Create your Vinkius account to connect Vagaro 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 Vagaro with Pydantic AI

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Find client info and visit history.

The `search_clients` tool pulls contact details, visit history, and preferences for any customer. Because of Pydantic validation, you know exactly what fields your agent is retrieving. It's perfect for quickly reviewing a client before they arrive. You can also use `get_client` to grab specific profile data points.

View staff schedules and team members.

Use `get_staff_schedule` to see who’s available and when they're booked. If you need to check a single day, the agent runs `list_appointments`. Pydantic ensures that data coming from `list_staff`, which lists roles and specialties, is correctly structured every time.

List offerings for services and retail.

The `list_services` tool provides pricing, duration, and categories for everything you sell. Your agent pulls this list cleanly so your staff always has the right info. Need to check inventory? The `list_products` tool reports on name, price, brand, and stock levels with validated data types.

Setup guide

Set up Vagaro 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": {
        "vagaro-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Vagaro MCP in Pydantic AI

The agent sends requests to the MCP Server. Pydantic then validates every response against defined models, so you never get unexpected or corrupted data from your Vagaro tools.

Yes. The agent uses `get_staff_schedule` to pull booked and available time slots, ensuring the output is reliable for scheduling purposes.

This server manages appointment details, client profiles (contact info and preferences), staff lists, service menus, and retail product information across your Vagaro business.

It does. You can use `list_classes` to check fitness schedules and `list_products` for inventory, knowing the data types are correct every single time.

This server touches customer contact information, visit history, and preference data. The whole system relies on Vinkius's secure endpoint token for access control.

Use it with your favorite AI tools

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