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How to Use the Mews MCP in Google ADK

Connect Mews PMS tools to your Google ADK pipelines to analyze reservations and guest profiles with Gemini.

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Google ADK

Connect Mews MCP to Google ADK

Create your Vinkius account to connect Mews 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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Enterprise Guest Search and Analytics

`search_guests` pulls complete profile information, contact details, and past stay histories directly into your Gemini agent. This tool allows the agent to analyze guest loyalty and preferences during long-context reasoning tasks. Because Google ADK supports massive context windows, your agent can process hundreds of guest profiles retrieved from `search_guests` simultaneously. This lets you run complex operations like matching past guest preferences with current room setups.

Google ADK Real-Time Property Configuration

`get_property_info` retrieves your exact hotel configuration, room types, and active services. Your agent uses this data alongside `list_room_blocks` to monitor group bookings and release dates in real time. This MCP Server integration allows your Google Cloud pipelines to sync physical room statuses with your digital inventory. The agent can automatically flag block releases before they expire, saving manual desk work.

Rate and POS Inventory Management

`list_rates` checks current pricing, restrictions, and availability rules across your whole property. The agent combines this with `list_outlet_items` to verify POS pricing and categories for on-site services. By exposing these tools to your Google ADK agent, you can feed live pricing data directly into BigQuery. This enables automated revenue management workflows that adjust rates based on current occupancy.

Setup guide

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

Use McpToolset with StreamableHttpServerParameters pointing to your Vinkius URL. Pass this toolset directly to your LlmAgent constructor to expose the property management tools.
Yes, you can use the optional tool_names filter when initializing your toolset. This prevents the agent from accessing sensitive billing tools like `list_bills` while allowing access to `list_rooms`.
Gemini models can hold over 1M tokens, meaning you can pull large data sets from `get_reservations` and analyze occupancy trends without running out of context window.
Yes, the Google ADK toolset handles both transport protocols. For cloud deployments, the streamable HTTP transport on Vinkius is the most reliable way to connect your agent.
Your Mews guest profiles and reservation details are processed entirely within the secure Vinkius sandbox. No PII or payment data is stored on external servers, keeping your property compliant with hospitality security standards.

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