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Vinkius runs on Cursor

How to Use the Room Proportion Checker MCP in Cursor

Get live, working data for room audits directly into your code with Cursor.

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Works with every AI agent you already use

…and any MCP-compatible client

Room Proportion Checker MCP on Cursor AI Code Editor MCP Client Room Proportion Checker MCP on Claude Desktop App MCP Integration Room Proportion Checker MCP on OpenAI Agents SDK MCP Compatible Room Proportion Checker MCP on Visual Studio Code MCP Extension Client Room Proportion Checker MCP on GitHub Copilot AI Agent MCP Integration Room Proportion Checker MCP on Google Gemini AI MCP Integration Room Proportion Checker MCP on Lovable AI Development MCP Client Room Proportion Checker MCP on Mistral AI Agents MCP Compatible Room Proportion Checker MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect Room Proportion Checker MCP to Cursor

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

GDPR Included with Plan

Key Capabilities

Check Axis Balance in Code

The `calculate_axis_balance_ratio` tool accepts a room’s width, length, and height to generate a harmony score. This function helps you instantly see if the dimensions create visual conflict. When working inside Cursor's Agent mode, the AI executes this check using real API responses. You get live data—no stubs or mock results—in your code context.

Validate Proportions for Development

You can call `classify_room_proportions` to determine if the room dimensions are acceptable according to standard architectural rules. This classification is immediate and binary: pass or fail. Developers use this capability to validate input data structures against physical constraints. The AI writes code that directly incorporates the result of this check, making your application logic real.

Verify Spatial Index on Demand

Need to know if a room's surface area is adequate? Use `evaluate_floor_area_index`. If you don't provide height, the tool defaults to 2.5m for the calculation. This allows you to embed architectural checks directly into your application code. Your AI agent writes functions that call this MCP and use its output data immediately.

Setup guide

Set up Room Proportion Checker MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Room Proportion Checker MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Room Proportion Checker transactions." If the MCP tools are loaded correctly, Cursor will call the Room Proportion Checker tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "room-proportion-checker-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Cursor

The MCP integrates by allowing the AI to call tools like `calculate_axis_balance_ratio` and inject the live JSON output directly into your active code file. You see working data, not just documentation.
Yes. Because it provides clear, measurable outputs (like a ratio score or a classification), you can write robust unit tests that validate your code against these architectural constraints using real data.
It needs three dimensional measurements: width, length, and height. The tool is designed to handle this core geometric data set efficiently within your coding environment.
You add it by configuring the server details in `.cursor/mcp.json`. Once configured, the AI agent can access and execute these tools alongside your existing codebase.
It's designed for precision. It uses defined architectural principles to assess dimensions. This reliability lets you build trust into your application's core logic.

Start using the Room Proportion Checker MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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