- LUX
- QUALITY
- GEOMETRY
- HUMAN
Short answer
How can I use AI to estimate light levels in a room?
Give your AI the room's dimensions and window geometry. It will calculate the lux levels and tell you if the light quality meets your needs. You'll get specific data points for every space you describe.
Lighting data outcomes
Where your data lands
The AI processes your spatial data into these specific results.
LUX
Light intensity estimates
The AI runs calculations to provide lux levels based on your room size. You get a numerical value for the brightness in the space.
QUALITY
Light quality classification
The agent evaluates the character of the light. It tells you if the lighting is suitable for specific tasks or environments.
GEOMETRY
Window impact analysis
The AI factors in window placement and shape. This determines how much natural light actually penetrates the room.
HUMAN
Manual verification needed
The AI provides the math, but you decide if the light is actually functional for your specific project or design goals.
The workflow
What your AI does when the data arrives.
The AI uses specialized tools to turn raw measurements into actionable lighting profiles.
Calculate brightness
The agent takes your room dimensions and window specs to determine the light intensity.
estimate_light_levelEvaluate light type
Once the intensity is known, the AI determines the quality of the light in the space.
classify_lightingAnalyze window geometry
The AI uses the window data to adjust the light level estimates for accuracy.
estimate_light_levelCategorize lighting
The agent groups the results into specific light quality categories.
classify_lighting
Try it
Copy these to start.
Use these prompts to begin your lighting analysis.
Starting points
Replace the bracketed text with your actual room measurements and window details.
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"
}
}
}Estimate the light levels for a room that is 15x20 feet with two large north-facing windows.
Classify the light quality for a small 10x10 office with a single narrow window.
Calculate the lux levels for a living room measuring 20x25 feet with three floor-to-ceiling windows.
Based on these dimensions, 12x12 feet with one small window, what is the light quality classification?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Natural Light Estimator once, then ask.
One click connects this MCP to your preferred client. Your credentials stay encrypted and the setup is handled on our end.
Connect Natural Light Estimator to your AIFAQ
How this task behaves
- 01
Does the AI need to see a photo of the room?
No. The AI works entirely from the text descriptions of dimensions and window geometry you provide.
- 02
Can the AI change the window size in my design?
No. The AI only calculates based on the data you give it. It cannot modify your architectural plans or files.
- 03
Will the AI automatically order new lighting fixtures?
No. The AI only provides estimates and classifications. You must handle any physical changes or purchases yourself.
- 04
How accurate are the lux estimates?
The estimates are based on the mathematical models provided by the estimate_light_level tool using your input data.
- 05
Can I use this with Claude or Cursor?
Yes. Any MCP-compatible client will work once you connect the Connector.
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
