How to Use the ARGUS Cloud MCP in Google ADK

Q: How do I register ARGUS Cloud tools in Google ADK?

You instantiate McpToolset pointing to Vinkius and pass that MCP toolset object into your Google ADK LlmAgent configuration to expose ARGUS Cloud.

Feed ARGUS Cloud commercial real estate data directly into your Google ADK enterprise agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ARGUS Cloud MCP to Google ADK

Create your Vinkius account to connect ARGUS Cloud 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.

GDPR Free for Subscribers

Setup ARGUS Cloud with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Enterprise Asset Analysis with Google ADK

The `list_assets` tool connects your Google ADK agent to your full inventory of ARGUS Cloud commercial properties. This allows Google ADK's long-context Gemini models to analyze thousands of real estate assets in a single reasoning pass using the MCP Server. Your Google ADK agent can then cross-reference these ARGUS Cloud assets with your existing BigQuery datasets. You get deep, data-backed property insights inside your Google ADK workflow.

Long-Context Portfolio Audits via MCP Server

The `get_portfolio` tool extracts detailed ARGUS Cloud valuation and performance metrics for your Google ADK agent. Because Google ADK supports massive token limits, you can feed entire ARGUS Cloud portfolio histories into a single prompt. The Google ADK agent uses `list_portfolios` to map out your entire ARGUS Cloud organizational structure. From there, it generates real estate executive summaries directly inside Google ADK.

Real-Time Alert Ingestion

The `list_notifications` tool streams urgent ARGUS Cloud real estate alerts directly to your Google ADK workflow. Your Google ADK agent parses these notifications to identify underperforming ARGUS Cloud assets. Once flagged, the Google ADK agent runs `get_asset` to gather specific ARGUS Cloud property details. This lets your Google ADK enterprise system react to market shifts instantly.

Setup guide

Set up ARGUS Cloud 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

Install Google ADK

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

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

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 ARGUS Cloud 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="ARGUS Cloud_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ARGUS Cloud tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ARGUS Cloud. 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.

Connect ARGUS Cloud now

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 ARGUS Cloud MCP in Google ADK

You instantiate `McpToolset` pointing to Vinkius and pass that MCP toolset object into your Google ADK `LlmAgent` configuration to expose ARGUS Cloud.

Yes, you can use the tool name filter in Google ADK to expose only specific ARGUS Cloud tools like `list_assets`.

Yes, Google ADK connects to ARGUS Cloud via both transports. You will use the streamable HTTP transport to keep your Google ADK real estate agents connected via MCP.

Gemini's million-token context window easily digests the deep JSON structures returned by `get_asset`. You don't have to worry about truncation when querying property details.

Your ARGUS Cloud real estate portfolio data is protected by Vinkius's zero-trust architecture. Connection tokens are processed in ephemeral sandboxes, ensuring your proprietary ARGUS Cloud asset values remain private from external Google ADK processes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript