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Preno MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Check Preno Status, Create Preno Booking, Create Preno Guest, and more

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Preno through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The Preno app connector for Pydantic AI is a standout in the Erp Operations category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Preno "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
Preno
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Preno MCP Server

Connect your Preno account to any AI agent and take full control of your property management and high-fidelity hospitality orchestration through natural conversation.

Pydantic AI validates every Preno tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

  • Booking Portfolio Orchestration — List all active and upcoming reservations, retrieve detailed high-fidelity status metadata, and monitor occupancy programmatically
  • Guest Intelligence Architecture — Access complete high-fidelity guest profiles and stay history to personalize every interaction directly through your agent
  • Reservation Orchestration — Programmatically generate new bookings and update existing high-fidelity reservation records for perfectly coordinated check-ins
  • Room & Rate Monitoring — Access your complete directory of high-fidelity room types and rates to optimize property utilization and revenue management
  • Financial Transaction Discovery — Access recorded technical payment entries to understand revenue streams and maintain perfect financial alignment
  • Operational Monitoring — Verify account-level API connectivity and monitor booking orchestration volume directly through your agent for perfectly coordinated service scaling

The Preno MCP Server exposes 11 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.

All 11 Preno tools available for Pydantic AI

When Pydantic AI connects to Preno through Vinkius, your AI agent gets direct access to every tool listed below — spanning booking-management, hotel-management, guest-services, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_preno_status

Check API Status

create_preno_booking

Create a new booking

create_preno_guest

Create a new guest

get_preno_booking

Get booking details

get_preno_guest

Get guest details

get_preno_room_type

Get room type details

list_preno_agents

List OTAs and agents

list_preno_bookings

List property bookings

list_preno_guests

Optionally search by name or email. List property guests

list_preno_payments

List financial payments

list_preno_room_types

List room categories

Connect Preno to Pydantic AI via MCP

Follow these steps to wire Preno into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Preno with type-safe schemas

Why Use Pydantic AI with the Preno MCP Server

Pydantic AI provides unique advantages when paired with Preno through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Preno integration code

03

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

04

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

Preno + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Preno in Pydantic AI

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

01

"List all active bookings and show their arrival status."

02

"Create a new booking for guest 'John Doe' arriving tomorrow for 3 nights."

03

"Check the last 5 payments recorded today."

Troubleshooting Preno MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Preno + Pydantic AI FAQ

Common questions about integrating Preno MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Preno MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.