OwnerRez MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OwnerRez through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 OwnerRez "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in OwnerRez?"
)
print(result.data)
asyncio.run(main())
* 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 OwnerRez MCP Server
Connect your OwnerRez account to any AI agent and get the most advanced vacation rental intelligence at your fingertips.
Pydantic AI validates every OwnerRez 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
- Bookings — All reservations with deep financial breakdown: charges, payments, balance
- Properties — Portfolio management with seasonal rates, cleaning fees, and house rules
- Guests — Search profiles with stay history, reviews, and lifetime revenue
- Calendar — Day-by-day availability per property with pricing and minimum stay
- Financials — Charges, payments, refunds, and full accounting trail
- Inquiries — Pending booking inquiries from all channels for conversion tracking
- Channels — Connected platforms status: Airbnb, VRBO, Booking.com, direct
The OwnerRez 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 OwnerRez to Pydantic AI via MCP
Follow these steps to integrate the OwnerRez 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 OwnerRez with type-safe schemas
Why Use Pydantic AI with the OwnerRez MCP Server
Pydantic AI provides unique advantages when paired with OwnerRez 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 OwnerRez integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your OwnerRez connection logic from agent behavior for testable, maintainable code
OwnerRez + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the OwnerRez MCP Server delivers measurable value.
Type-safe data pipelines: query OwnerRez with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OwnerRez tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OwnerRez and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock OwnerRez responses and write comprehensive agent tests
OwnerRez MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect OwnerRez to Pydantic AI via MCP:
get_booking
Get booking details
get_calendar
Get property calendar
get_property
Get property details
list_bookings
Filter by status: booked, checked_in, checked_out, cancelled. List rental bookings
list_channels
com, direct website. With status and sync health. List connected channels
list_charges
Deep financial breakdown. List booking charges
list_inquiries
For conversion tracking. List booking inquiries
list_payments
With amounts, dates, and processing status. List booking payments
list_properties
List rental properties
search_guests
Returns contact info, stay history, reviews received, and total revenue. Search guests
Example Prompts for OwnerRez in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with OwnerRez immediately.
"What bookings do I have arriving this weekend and what's still owed?"
"Show me all properties in our Florida portfolio with their seasonal rates."
"Find the booking for John Smith from last month and show the balance."
Troubleshooting OwnerRez MCP Server with Pydantic AI
Common issues when connecting OwnerRez to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOwnerRez + Pydantic AI FAQ
Common questions about integrating OwnerRez MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect OwnerRez with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OwnerRez to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
