Use Thermal Mass Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate thermal lag, amplitude damping, and U-value for wall structures based on material properties.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Thermal Mass Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Thermal Mass Estimator.
01-03
3 capabilities in this set.
Part of 3 available through Thermal Mass Estimator.
- 01
Estimate thermal behavior
Estimates the thermal lag and amplitude damping factor for a wall layer
- 02
Calculate u value
Calculates the thermal transmittance (U-value) for a single layer of material
- 03
Get material properties
Retrieves the fundamental thermal properties for a specific building material
Observed, not estimated
639ms average. Fast in production.
Thermal Mass Estimator is checked daily against the live service.
- Fastest day
- 507ms
- Slowest day
- 781ms
- 14-day trend
- Slowing+17%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Thermal Mass Estimator, so you can see the experience inside your AI.
It does not authenticate your account with Thermal Mass Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Thermal Mass Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_lUpqVHsClTcF8p8PKjZDWoQrsoWCp5BhgXPJLjNQ/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 — Thermal Mass Estimator capabilities are ready to use.
{
"mcpServers": {
"thermal-mass-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_lUpqVHsClTcF8p8PKjZDWoQrsoWCp5BhgXPJLjNQ/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Thermal Mass Estimator owners ask.
- 01
What materials are supported?
The server currently supports brick, concrete, wood, and drywall.
- 02
How is the U-value calculated?
The U-value is calculated as the ratio of the material's thermal conductivity to its thickness in meters.
- 03
What does thermal lag represent?
Thermal lag represents the time interval between peak external temperature and peak internal temperature.
Explore
More in Construction
Energy Balance Calculator AI Connector
Calculate sensible heat, phase changes, mixing temperatures, and process efficiency.
ViewComposite Material Design AI Connector
Calculate mechanical properties, optimal fiber content, and laminate stiffness for composite materials.
ViewStud Wall Load Calculator AI Connector
Calculate the allowable axial and lateral load capacity for wood stud walls based on NDS standards.
ViewRoom Acoustics Calculator AI Connector
Calculate RT60, absorption, and room modes for precise acoustic design.
View
Suggestions
Masonry Quantity Calculator AI Connector
Calculate the number of masonry units, mortar volume, and required cement and sand for wall construction.
ViewSwell Refraction Calculator AI Connector
Predict wave refraction, height changes, and breaking stability using Snell's and Green's Laws.
ViewTile Drain Spacing Calculator AI Connector
Calculate optimal tile drain spacing and water table drawdown dynamics.
ViewWheat Dough Strength Predictor AI Connector
Predict wheat dough quality and baking suitability from protein and environmental data.
View
