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How to Use the Bookeo MCP in Pydantic AI

Build type-safe scheduling pipelines using Pydantic AI and the Bookeo MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Pydantic AI

Connect Bookeo MCP to Pydantic AI

Create your Vinkius account to connect Bookeo 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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Runtime validation using Pydantic AI

Stop worrying about your agent hallucinating booking details. Pydantic AI validates every response from `get_booking` and `list_bookings` against strict Python types before your code ever runs it. If the Bookeo API returns an unexpected schema, your agent fails immediately instead of passing corrupted data. This makes it the safest way to handle live customer reservations.

Type-safe availability and product checks

Ensure your agent always gets correct pricing and capacity data. This MCP Server exposes `check_availability` and `list_products` to your type-safe agent system. The framework parses the duration and capacity fields into clean Pydantic models. You can confidently display these options to users knowing the data matches your exact specifications.

Secure customer lookups with zero silent errors

Fetching customer profiles shouldn't be a guessing game. Use `get_customer` and `search_customers` to pull reservation histories and preferences with guaranteed type safety. You can also track business financials safely using `list_payments` and `list_webhooks`. Every transaction record is validated at runtime, keeping your accounting pipelines clean.

Setup guide

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

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

result = await agent.run("List recent Bookeo 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 Bookeo. 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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visibility into every interaction

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

Built-in savings

60%

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 Bookeo MCP in Pydantic AI

Use the MCPToolset class with your Bookeo MCP Server HTTP endpoint. Pass this toolset directly to your Agent constructor, and the framework handles the rest.
It prevents silent data corruption. If your agent queries `list_bookings`, Pydantic AI ensures the returned dates, prices, and participant counts match your schema perfectly.
Yes, the framework is completely model-agnostic. You can run local LLMs or commercial APIs to process tools like `check_availability` and `get_customer`.
The agent queries `list_webhooks` and validates the active endpoints against your defined Pydantic schemas. This ensures your event listeners are correctly configured and typed.
Credentials are encrypted and stored in a zero-trust environment on Vinkius MCP hosting. Your customer profiles and payment details are processed in memory and never written to disk.

Start using the Bookeo MCP today

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