How to Use the Lodgify MCP in Google ADK

Bring Lodgify data into Google ADK. Build enterprise agents that reason over your property bookings using Gemini's long-context window.

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Connect Lodgify MCP to Google ADK

Create your Vinkius account to connect Lodgify to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lodgify with Google ADK

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Enterprise Lodgify integration with Google ADK

Connect your Lodgify account to Google ADK to process complex property data alongside your existing Google Cloud infrastructure. Use `list_properties` to feed your agent a complete inventory of your rentals. Your agent can now reason over property details and availability in the same context as your BigQuery data. It creates a unified view for your internal operations team.

Scale availability queries with Gemini

Use `get_availability` to check dates across multiple units for large-scale booking requests. With Gemini's massive context window, your agent can analyze long-term occupancy trends without hitting token limits. This capability allows you to build agents that manage complex booking scenarios. The agent evaluates every `get_quote` result against your current occupancy data before confirming any guest inquiry.

Filter tools for targeted agent behavior

Restrict the toolset exposed to your Google ADK agent by using the optional tool_names filter. You can limit access to specific functions like `get_rates` to ensure the agent only performs authorized price checks. This provides a security layer while keeping your agent focused on specific property management tasks. It prevents the agent from accessing unintended data endpoints during its reasoning process.

Setup guide

Set up Lodgify 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 Lodgify 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="Lodgify_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lodgify 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 Lodgify. 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 Lodgify MCP in Google ADK

The McpToolset class bridges your agent and the Lodgify server. It maps the server's tools into the Google ADK execution flow, allowing the agent to call functions natively.

Your Lodgify credentials remain protected by the MCP server's endpoint token. Google ADK only handles the tool execution results, ensuring your sensitive account access stays isolated.

Yes, you can write logic in your agent to combine Lodgify booking data with your BigQuery tables. This allows for deep analysis of your property performance over time.

The server fetches live data directly from the API. When your agent calls `get_availability`, it receives the most current status available from your Lodgify account.

Pass a list of allowed tool names to the McpToolset configuration. This ensures the agent only interacts with the specific endpoints you define for your workflow.

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