How to Use the Room Proportion Checker MCP in Google ADK

Q: What happens if I omit the height when running Room Proportion Checker with Google ADK?

The MCP is designed to handle that. The evaluatefloorareaindex tool automatically substitutes a 2.5-meter default, ensuring your agent receives a usable index score every time.

Assess building harmony with your Google ADK agent on Google Cloud.

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Connect Room Proportion Checker MCP to Google ADK

Create your Vinkius account to connect Room Proportion Checker to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Room Proportion Checker with Google ADK

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Architectural Analysis for Google ADK

When you need to check if a space meets visual harmony standards, the MCP runs `calculate_axis_balance_ratio`. This tool analyzes width, length, and height to give you a numerical score. You can feed this data right into BigQuery alongside your other property metrics. Google's long-context models can hold the resulting analysis—you’re not limited by token count when reviewing complex reports.

Verifying Spatial Compliance with Google ADK

The MCP also offers `classify_room_proportions`, which tells your agent if a space is architecturally sound or needs work. This classification helps guide the next steps in an enterprise workflow, whether that's flagging it for revision or marking it as ready to sell. It’s built for integration; you pass the result directly into other Vertex AI models running on Google Cloud.

Efficient Property Indexing via MCP Server

You can run `evaluate_floor_area_index` to assess efficiency. It compares surface area against ceiling height, using a 2.5m default if you forget the height measurement. This makes your agent robust even with messy input data. Since this whole thing runs on Vinkius, you get full visibility into every tool call and how much budget it costs.

Setup guide

Set up Room Proportion Checker 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 Room Proportion Checker 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="Room Proportion Checker_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Room Proportion Checker tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Room Proportion Checker. 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 Room Proportion Checker MCP in Google ADK

The MCP processes raw dimensions through multiple tools to generate a complete compliance report. Your agent uses this structured data to make decisions, like whether or not to proceed with listing the property.

Absolutely. Because your agents are built on Google Cloud and support BigQuery integration, you can run this check across thousands of records efficiently without data bottlenecks.

The MCP is designed to handle that. The `evaluate_floor_area_index` tool automatically substitutes a 2.5-meter default, ensuring your agent receives a usable index score every time.

The data is processed in Vinkius's secure sandbox environment. Every call generates an audited, tamper-proof record that you can rely on for compliance reporting.

The server only processes physical measurements and ratios—dimensions like length, width, height, and derived indices. It never handles financial details or personal names.

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