Vinkius
OwnerRez logo
Vinkius
Vinkius runs on OpenAI Agents SDK

How to Use the OwnerRez MCP in OpenAI Agents SDK

Deploy production-ready vacation rental agents with OpenAI Agents SDK to manage booking lifecycles and process reservation data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

OwnerRez MCP on Cursor AI Code Editor MCP Client OwnerRez MCP on Claude Desktop App MCP Integration OwnerRez MCP on OpenAI Agents SDK MCP Compatible OwnerRez MCP on Visual Studio Code MCP Extension Client OwnerRez MCP on GitHub Copilot AI Agent MCP Integration OwnerRez MCP on Google Gemini AI MCP Integration OwnerRez MCP on Lovable AI Development MCP Client OwnerRez MCP on Mistral AI Agents MCP Compatible OwnerRez MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on OpenAI Agents SDK

Connect OwnerRez MCP to OpenAI Agents SDK

Create your Vinkius account to connect OwnerRez to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Automate booking lookups with OpenAI Agents SDK

`get_booking` fetches raw reservation parameters while your OpenAI Agents SDK agent uses native guardrails to verify guest identities before sharing entry codes. You pass this tool directly to the Agent constructor inside your OpenAI Agents SDK script to handle incoming OwnerRez booking inquiries. The OpenAI Agents SDK agent uses `list_bookings` to scan active check-ins, allowing it to route OwnerRez booking issues to the correct property manager. Because OpenAI Agents SDK manages multi-agent handoffs, a front-desk agent can hand off complex billing disputes to a specialized finance agent without losing context.

Audit rental transactions with an MCP Server

Look, here's the thing: `list_payments` retrieves transaction histories directly through the MCP Server, letting your OpenAI Agents SDK pipeline cross-reference bank deposits with active OwnerRez reservations. Your OpenAI Agents SDK pipeline monitors these records to catch failed transactions before guests arrive at the property. If an OwnerRez payment shows a pending or failed status, the OpenAI Agents SDK agent triggers `list_charges` to break down individual line items like cleaning fees or lodging taxes. This setup runs inside your secure Python environment, keeping guest financial data isolated from unauthorized third-party eyes.

Monitor channel sync health across platforms

`list_channels` exposes the connection status of your listings on booking sites, allowing your OpenAI Agents SDK setup to flag broken OwnerRez API syncs immediately. Your agent reads this data to prevent double-bookings by checking if calendar updates are successfully pushing to external channels. When a discrepancy occurs, the OpenAI Agents SDK agent calls `get_calendar` to verify blocked OwnerRez dates against the master schedule. This direct integration ensures your automated system never relies on stale cached data when adjusting property availability.

Setup guide

Set up OwnerRez MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all OwnerRez tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives OwnerRez tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate OwnerRez tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="OwnerRez Agent",
            instructions="You have access to OwnerRez tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OwnerRez. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about OwnerRez MCP in OpenAI Agents SDK

Install the Python package and pass the MCP Server endpoint URL to the MCPServerStreamableHttp constructor. Wrap this in an async context manager, then pass the server object directly to your agent's mcp_servers configuration list to auto-discover all ten tools.
Yes, the SDK features built-in guardrails that intercept tool calls like get_booking or list_bookings before execution. Your agent checks the parameters against your custom safety rules to prevent unauthorized access to reservation details.
The SDK relies on OpenAI's native runtime to queue tool calls, but you should handle rate limits at the HTTP transport layer. When running operations like list_payments in bulk, configure your agent's retry logic to back off when OwnerRez returns a 429 status code.
You can assign specific tasks to different agents, such as one agent using search_guests to handle customer relations while another uses list_charges to reconcile ledger balances. OpenAI Agents SDK handles the transition between these specialized agents dynamically.
This MCP Server runs inside a zero-trust V8 sandbox on Vinkius, which means your guest contact details and payment records are processed in ephemeral environments. No guest data from search_guests or transaction logs from list_payments is stored on Vinkius servers; it passes directly to your OpenAI Agents SDK runtime.

Start using the OwnerRez MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for OwnerRez. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.