How to Use the OwnerRez MCP in Google ADK

Q: Can Google ADK agents run complex analytical queries on OwnerRez calendars?

Yes, by passing getcalendar and listproperties to your Google ADK agent, you let Gemini analyze long-range availability blocks. The model can process months of calendar data at once due to its large context window, identifying operational bottlenecks.

Q: Can I combine OwnerRez data with BigQuery using the Google ADK MCP Server integration?

You can write Python code that runs listbookings via the MCP Server, formats the JSON payload, and writes it directly to BigQuery. This lets you combine reservation data with external marketing datasets for advanced reporting.

Query OwnerRez calendars and guest records using Google ADK to power enterprise reservation agents.

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Connect OwnerRez MCP to Google ADK

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

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Setup OwnerRez with Google ADK

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Analyze booking trends using Gemini and Google ADK

`list_bookings` extracts reservation histories that your Google ADK agent feeds directly into BigQuery through this MCP Server. Using Gemini's million-token context window, the agent cross-references OwnerRez booking dates with historical property performance to predict seasonal occupancy rates. The Google ADK agent invokes `get_calendar` to map out real-time OwnerRez availability across your entire portfolio. This allows your enterprise pipeline to identify empty gaps in the schedule and recommend pricing adjustments directly to your management team.

Reconcile lodging charges via MCP Server integrations

`list_charges` pulls detailed financial breakdowns from your property listings, which your Google ADK pipeline matches against corporate accounting ledger templates. The agent processes these OwnerRez line items to ensure local lodging taxes and cleaning fees match your internal records. Bottom line: by calling `list_payments`, the Google ADK agent tracks the processing state of every OwnerRez reservation deposit. This automated check helps your finance team identify unpaid balances before they cause issues with upcoming check-ins.

Qualify high-value guests using Vertex AI models

`search_guests` retrieves lifetime revenue and review history, allowing your Google ADK agent to identify repeat OwnerRez travelers who deserve VIP treatment. The agent uses this historical data to draft personalized email campaigns based on previous stay details. If an OwnerRez guest submits an inquiry, the Google ADK agent uses `list_inquiries` to analyze their initial message and historical conversion rates. This allows your sales team to prioritize high-intent leads based on real-time booking data.

Setup guide

Set up OwnerRez MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with OwnerRez tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="OwnerRez_agent",
    model="gemini-2.0-flash",
    instruction="You have access to OwnerRez tools via MCP.",
    tools=mcp_tools,
)

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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.

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Common questions about OwnerRez MCP in Google ADK

Instantiate McpToolset with the HTTP server parameters pointing to your Vinkius endpoint, then pass it as a tool to your LlmAgent. Google ADK automatically maps the ten endpoints, including get_property and list_bookings, to Gemini's tool-calling interface.

Yes, by passing get_calendar and list_properties to your Google ADK agent, you let Gemini analyze long-range availability blocks. The model can process months of calendar data at once due to its large context window, identifying operational bottlenecks.

You can use the optional tool names filter in McpToolset to limit exposure. For example, you can restrict a customer-facing agent to get_property and get_calendar while completely hiding financial endpoints like list_payments.

You can write Python code that runs list_bookings via the MCP Server, formats the JSON payload, and writes it directly to BigQuery. This lets you combine reservation data with external marketing datasets for advanced reporting.

The MCP Server communicates over encrypted HTTPS channels, and Vinkius handles the underlying OwnerRez API authentication tokens securely. Your guest contact details from search_guests and reservation dates from get_calendar are never cached or exposed to public LLMs during processing.

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