What makes Apaleo different from other PMS?

Apaleo is 100% API-first — every feature is accessible via REST API with OpenAPI/Swagger specs. It offers a free developer sandbox, OAuth 2.0, and a modular architecture where you pick the best tools for each function.

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

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

    result = await agent.run(
        "What tools are available in Apaleo?"
    )
    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 Apaleo MCP Server

Connect your Apaleo hotel to any AI agent — the API-first PMS built for modern hospitality.

Pydantic AI validates every Apaleo 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

Reservations — Browse, filter by status, and view complete booking details
Properties — Multi-property management with full configuration access
Rooms — Room inventory with status, condition, and maintenance tracking
Rate Plans — All pricing plans, restrictions, and availability rules
Finance — Guest folios, charges, payments, and finalized invoices
Availability — Sellable units calendar per room type and date range

The Apaleo 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 Apaleo to Pydantic AI via MCP

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

Why Use Pydantic AI with the Apaleo MCP Server

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

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

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

Apaleo + Pydantic AI Use Cases

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

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

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

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

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

Apaleo MCP Tools for Pydantic AI (10)

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

check_availability

Shows sellable units per room type per day. Check room availability

get_property

Get property details

get_reservation

Get reservation details

list_folios

Filter by reservation for guest billing. List guest folios

list_invoices

For accounting and audit. List invoices

list_properties

For multi-property hotel groups. List hotel properties

list_rate_plans

List rate plans

list_reservations

The front-desk dashboard. List hotel reservations

list_room_types

Standard, Deluxe, Suite, etc. List room types

list_rooms

List rooms

Example Prompts for Apaleo in Pydantic AI

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

"Show me all confirmed reservations arriving this week"

Troubleshooting Apaleo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Apaleo + Pydantic AI FAQ

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