How to Use the Apaleo MCP in Google ADK
Bring Apaleo property data into your Google ADK pipelines for long-context reasoning.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Apaleo MCP to Google ADK
Create your Vinkius account to connect Apaleo 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.
Property management via Google ADK
Use `list_properties` to map out your entire hotel portfolio inside a Gemini-powered agent. The `get_property` tool pulls deep specs for specific locations. This workflow excels when agents need to reason over millions of tokens. Your hotel data feeds directly into the model for complex planning.
Querying Apaleo with Google ADK
The `list_rooms` tool allows your agent to audit room status across your infrastructure. It cross-references these rooms against `list_rate_plans` to identify pricing gaps. Google Cloud users can pipe these results into BigQuery. The agent acts on your property data while keeping everything within your existing cloud ecosystem.
Syncing Apaleo and Google ADK
Deploy the McpToolset to expose specific functions to your agent. You can restrict the scope by using a tool_names filter to keep operations tight. This MCP server supports standard HTTP transport. It connects your agent to the PMS without needing extra bridge code.
Set up Apaleo 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 Apaleo 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="Apaleo_agent",
model="gemini-2.0-flash",
instruction="You have access to Apaleo 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 Apaleo. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
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
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Apaleo MCP in Google ADK
Use it with your favorite AI tools
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Start using the Apaleo MCP today
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