Can I check if a rental is available for a specific weekend?

Yes! Use the `query_availability` tool with the Product IDs. Your agent will check the real-time calendar status in Bookingmood to confirm if the unit is free or booked.

How do I see the contact details for a guest with a confirmed booking?

Simply ask the agent to `list_contacts`. You can filter for specific guests linked to bookings to retrieve their names, emails, and phone numbers directly from the directory.

Does the integration allow updating the price of a rental?

The current toolset focuses on availability, booking management, and contact oversight. Updating core pricing calendars or complex rate seasons should be done through the Bookingmood dashboard.

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

Name: Bookingmood
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 Bookingmood 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 Bookingmood "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Bookingmood MCP Server

Connect your Bookingmood rental management account to any AI agent and orchestrate your availability and booking workflows through natural conversation.

Pydantic AI validates every Bookingmood 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

Rental Oversight — List all your rental products and retrieve detailed metadata and descriptions.
Booking Management — Create, update, and manage bookings across your portfolio of rentals.
Real-time Availability — Query and search for available slots and units across specific date ranges.
Calendar Synchronization — Retrieve raw calendar events and blocks to monitor occupancy.
Guest Coordination — Access and manage your guest contact directory and linked bookings.
Flexible Querying — Use PostgREST-powered filters to retrieve exactly the data you need.

The Bookingmood 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 Bookingmood to Pydantic AI via MCP

Follow these steps to integrate the Bookingmood 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 Bookingmood with type-safe schemas

Why Use Pydantic AI with the Bookingmood MCP Server

Pydantic AI provides unique advantages when paired with Bookingmood 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 Bookingmood integration code

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

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

Bookingmood + Pydantic AI Use Cases

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

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

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

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

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

Bookingmood MCP Tools for Pydantic AI (10)

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

create_booking

Create a new booking

delete_booking

Delete/cancel a booking permanently

get_product

Get details of a specific rental product

list_bookings

List all current bookings

list_calendar_events

List raw calendar events (blocks)

list_contacts

List guest contacts

list_products

List all rental products

query_availability

Check availability for a list of products

search_availability

Search for available products across dates

update_booking

Update an existing booking

Example Prompts for Bookingmood in Pydantic AI

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

"List all my rental units in Bookingmood."

"Check availability for 'Beachfront Villa' for the second week of July."

"Show the last 5 bookings received."

Troubleshooting Bookingmood MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bookingmood + Pydantic AI FAQ

Common questions about integrating Bookingmood 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 Bookingmood MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.