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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Mews MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Mews tools in your ADK agent.
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.
Why Choose Vinkius
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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
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One
place for every integration
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Common questions about Mews MCP in Google ADK
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