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How to Use the Amenitiz MCP in Google ADK

Connect Gemini to your Amenitiz PMS with the Google ADK for enterprise-scale hotel intelligence.

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Google ADK

Connect Amenitiz MCP to Google ADK

Create your Vinkius account to connect Amenitiz 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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Pull Amenitiz Data into BigQuery

Your ADK agent can call `list_reservations` and `list_guests` to fetch your hotel's core data. From there, it's trivial to pipe the results straight into a BigQuery table for analysis. With Gemini's massive context window, you can feed an agent an entire year's worth of reservation data. Ask it to find trends, identify top guests, or summarize revenue by quarter, all in a single prompt.

Build Live Dashboards on Google Cloud

Use an agent as a live data source for your internal tools. It can use `get_availability` and `get_rates` to provide up-to-the-second information from Amenitiz. You can build a Looker Studio dashboard that queries your agent, not a stale database. This gives your front desk or revenue managers a real-time view of inventory and pricing without ever leaving their Google Workspace.

Manage Property Inventory via MCP Server

Give your agents tools to understand your property's physical layout. They can use `get_property` for an overview, then `list_room_types` and `list_rooms` to get specific details. The Google ADK lets you filter which tools an agent can access. You could build a specialized 'inventory agent' that only sees room-related tools, and a separate 'reservations agent' that can access guest info. It's a simple way to enforce separation of concerns.

Setup guide

Set up Amenitiz 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Amenitiz 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="Amenitiz_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Amenitiz tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amenitiz. 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 Amenitiz MCP in Google ADK

You just need the Vinkius endpoint for this MCP server. In your Python code, you'll create an `McpToolset` with that URL and pass it to your `LlmAgent`. The ADK handles the connection and tool discovery.
Yes, that's a perfect use case. Your agent can call `list_reservations`, get all the data, and then you can use the power of the Gemini model or other Google Cloud tools to analyze it.
The server provides stable, fast access to your data. When your agent needs to pull thousands of guest records from Amenitiz with `list_guests`, this managed connection ensures it won't time out or get rate-limited.
It replaces needing to build against the Amenitiz API directly. Vinkius manages the connection, auth, and maintenance through this MCP server, so your agent code is much simpler.
Your data's privacy is maintained. The connection is a direct, secure pass-through. When your agent calls `get_reservation`, the guest's information travels through the Vinkius ephemeral environment and is never logged or stored on our side. It goes straight to your agent in your Google Cloud project.

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