io.aidc-ai/design-engine
Official3 toolsAI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
AI-powered data center design tool for sizing, validating, and laying out Rubin-era facilities.
Captured live from the server via tools/list.
design
Size an AI data center from IT load, rack density, GPU generation, site area, and region.
Parameters (6)
- itLoadMwnumberrequired
IT load in MW
- rackDensityKwnumberrequired
Per-rack power in kW
- gpuGenstringrequired
GPU generation
- siteAreaSqmnumberrequired
Site area in square meters
- regionstringrequired
Deployment region class
- optionsobject
validate
Validate a data center design against electrical, cooling, layout, safety, and data rules.
Parameters (6)
- itLoadMwnumberrequired
IT load in MW
- rackDensityKwnumberrequired
Per-rack power in kW
- gpuGenstringrequired
GPU generation
- siteAreaSqmnumberrequired
Site area in square meters
- regionstringrequired
Deployment region class
- optionsobject
layout
Generate rack-plan and site-block layout data for a design.
Parameters (7)
- itLoadMwnumberrequired
IT load in MW
- rackDensityKwnumberrequired
Per-rack power in kW
- gpuGenstringrequired
GPU generation
- siteAreaSqmnumberrequired
Site area in square meters
- regionstringrequired
Deployment region class
- optionsobject
- siteCentroidobject
Optional WGS84 site centroid
README not available yet.
Install
claude_desktop_config.json
{
"mcpServers": {
"design-engine": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://aidc-ai.io/api/mcp"
]
}
}
}Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.