How to Use the Urbanise MCP in Google ADK
Manage community properties with Google ADK. Connect your enterprise data in BigQuery directly to property operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Urbanise MCP to Google ADK
Create your Vinkius account to connect Urbanise 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.
Managing Property Data
You can pull a list of all residents and owners using `list_property_occupants`. If you need a full picture of the physical layout, check out `list_property_plans`. Your agent uses these tools to build comprehensive resident databases that feed into your BigQuery workflows.
Vendor and Budget Management
Keep track of who supplies what. The `list_managed_suppliers` tool pulls vendor lists, while `list_property_budgets` shows the spending limits for various development plans. This lets your agent coordinate both vendor purchases and financial planning.
Financial Reporting
The finance tools are simple to use. You can list available ledgers with `list_accounting_ledgers` or pull detailed billing information using `list_financial_data`. It handles the core money movements for property management. Your agent runs these checks, ensuring data accuracy within your Google Cloud environment.
Set up Urbanise 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 Urbanise 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="Urbanise_agent",
model="gemini-2.0-flash",
instruction="You have access to Urbanise 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 Urbanise. 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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Real-time monitoring
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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 Urbanise MCP in Google ADK
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