How to Use the Booking Manager MCP in Pydantic AI

Type-safe yacht charter management for your Pydantic AI agent workflows.

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Connect Booking Manager MCP to Pydantic AI

Create your Vinkius account to connect Booking Manager 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 Booking Manager with Pydantic AI

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Pydantic AI agents and yacht details

Use `get_yacht` to retrieve specs for a specific vessel. The response is validated against your Pydantic models to ensure the data matches your expected schema. If the server sends a malformed field, your agent stops immediately. This prevents bad data from reaching your business logic.

Managing extras via Pydantic AI

Invoke `get_extras` to list available add-ons like Wi-Fi or skipper services. Each item is parsed into a clean Python object. You can then offer these choices to your users with total confidence in the data types. No more guessing what the API might return.

MCP Server validation for Pydantic AI

Run `get_offers` to pull current deals. Your models verify the pricing structure before the agent displays them to the user. This MCP Server provides the input that keeps your agent's logic strictly typed. It is the safest way to ingest external charter data.

Setup guide

Set up Booking Manager 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": {
        "booking-manager-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Booking Manager 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 Booking Manager. 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 Booking Manager MCP in Pydantic AI

Every response is mapped to a Pydantic model. If the API output doesn't match your schema, the agent raises a validation error.

Yes. Since the MCP tools are typed, your IDE and agent framework will see the correct return types for every call.

Use the slim package for the best compatibility. It handles the MCP connection while keeping your environment clean.

You can define which tools to expose in your toolset configuration. This keeps your agent's scope focused on the relevant tasks.

We use scoped tokens to ensure only authorized clients can access your charter information. Your data access is logged and ephemeral, leaving no trace in the server memory.

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