- PASS
- FAIL
- REVIEW
- ERROR
Short answer
Can my AI check if my windows meet lighting codes?
Yes. Your agent uses the Natural Light Estimator to compare window dimensions against floor area and classifies the results. You'll get a clear list of which rooms pass or fail lighting standards.
Compliance outcomes.
Where every issue lands.
The AI sorts your data into these specific categories based on the lighting math.
PASS
Compliant spaces
The AI identifies rooms where window area meets the required ratio. These are flagged as ready for occupancy.
FAIL
Non-compliant spaces
Rooms that fall below the lighting threshold are flagged. You'll see exactly where the window area is insufficient.
REVIEW
Borderline cases
Spaces that sit right on the edge of compliance are marked for your attention. These require a human eye to confirm.
ERROR
Missing dimensions
If the AI can't find window or floor area data, it flags the error. You'll know which files need more detail.
The workflow
What your AI does when the data arrives.
The AI processes your architectural data through a two-step verification loop.
Calculate light levels
The agent looks at the window dimensions and the total floor area to determine the light ratio.
estimate_light_levelCategorize compliance
The agent compares the calculated levels against your specific lighting standards.
classify_lightingIdentify failures
The agent isolates rooms that don't meet the minimum requirements.
classify_lightingFlag for review
The agent marks any ambiguous data points that need a professional's sign-off.
classify_lighting
Try it
Copy these to start.
Use these prompts once you've connected the MCP.
Starting points
Replace the bracketed text with your specific file names or room numbers.
Natural Light Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_OCrUIacGgcSp1acV0GXtQmDMx9Pr8HGrtS5PLn4Z/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Natural Light Estimator capabilities are ready to use.
{
"mcpServers": {
"natural-light-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_OCrUIacGgcSp1acV0GXtQmDMx9Pr8HGrtS5PLn4Z/mcp"
}
}
}Check the window area compliance for the floor plan in 'Project_Alpha_v2.pdf'.
Compare the window dimensions in 'Unit_304_Layout' against the floor area.
List all rooms in 'Residential_Block_A' that fail the lighting standard.
Analyze the light levels for the living rooms in the 'Main_House_Plan' sheet.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Natural Light Estimator once, then ask.
One click connects the MCP to your client. Your credentials stay encrypted, and you can immediately start asking questions about your floor plans.
Connect Natural Light Estimator to your AIFAQ
How this task behaves.
- 01
Can the AI change my CAD files?
No. The AI only reads your data to perform calculations and classifications. It cannot modify your original design files.
- 02
Does the AI sign off on building permits?
No. The AI provides compliance checks, but the final legal verification must be done by a human professional.
- 03
What kind of files can I use?
The AI works with any data you can provide in text or structured formats that include window and floor area dimensions.
- 04
Can it calculate sunlight hours?
No. This tool is limited to comparing window area to floor area for compliance; it does not model solar paths or sunlight duration.
- 05
Do I need to manually do the math?
No. The AI handles all the area ratios and compliance logic automatically once you provide the dimensions.
More questions about Natural Light Estimator? The Connector page answers them. See everything the Natural Light Estimator Connector can do
Connect Natural Light Estimator to Claude, Cursor, ChatGPT & more
