How to Use the Room Proportion Checker MCP in AutoGen

Facilitate consensus decision-making using AutoGen. Let agents debate design flaws with the Room Proportion Checker.

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Connect Room Proportion Checker MCP to AutoGen

Create your Vinkius account to connect Room Proportion Checker to AutoGen — 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 AutoGen

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Simulate architectural debates.

Set up a group of agents—a structural agent, an ergonomic agent, and maybe a cost-control agent. They can argue over room dimensions by calling the `calculate_axis_balance_ratio` tool. The final decision is based on which perspective wins the deliberation. This MCP provides objective data points that the competing agents must reconcile to reach a consensus recommendation.

Challenge design assumptions.

Need multiple viewpoints on compliance? Have one agent check general proportions using `classify_room_proportions`. A second, challenging agent can then demand an FAI assessment via `evaluate_floor_area_index` to force a deeper dive into the spatial math. The process of debate makes the final output much more trustworthy than a single API call.

Validate design decisions through consensus.

You build systems where the answer isn't obvious. The agents discuss conflicting requirements—e.g., 'It looks balanced, but is it actually efficient?' By passing dimensions to this MCP, they generate a report that all parties must acknowledge. This makes your multi-agent system powerful because the tool output drives the entire conversation.

Setup guide

Set up Room Proportion Checker MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Room Proportion Checker tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Room Proportion Checker_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Room Proportion Checker data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Room Proportion Checker_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Room Proportion Checker data")
    print(result.messages[-1].content)

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 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 AutoGen

The MCP provides objective facts that multiple agents can challenge. One agent might propose a layout, and another will immediately call the tool to dispute its proportions based on data.

Yes, that's exactly what it's for. You can set up a negotiation where one agent's finding (e.g., 'low harmony score') forces another agent to propose a structural fix.

It handles numeric dimensions and derived indices, primarily focusing on ratios and classification states. The output is structured enough that any agent can read it and argue against it.

It acts as the objective arbiter of the discussion. When agents disagree on suitability, they both reference the tool's output for quantifiable proof.

Yes. All tools require spatial inputs—width, length, and height—to run the calculation. You need those coordinates to start any debate.

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