io.aidc-ai/design-engine

Estimate, validate, and generate layouts for Rubin-era data center designs.

Source

Official Registry

Updated

2026-06-25

// securityCaution

Remote endpoint· aidc-ai.io
Runs locally
Official / curated
Community-trusted

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "io.aidc-ai/design-engine" MCP server from askskill:
Run: claude mcp add --transport http 'io-aidc-ai-design-engine' 'https://aidc-ai.io/api/mcp'

// examples

Plan data center capacity

Prompt

Create an initial capacity plan for an AI training data center in Korea with a target power of 80MW. Include rack count, power allocation, cooling needs, and space estimates.

Expected

A capacity planning summary with rack scale, power and cooling requirements, and estimated floor space.

Validate design feasibility

Prompt

Validate this data center design: 1,200 high-density racks at 60kW each, dual power feeds, with liquid cooling preferred. Identify capacity bottlenecks, power delivery risks, and cooling constraints.

Expected

A design validation report listing key risks, constraints, and actionable optimization recommendations.

Generate a facility layout

Prompt

Generate a layout proposal for a 40MW AI data center, including rack zones, cooling areas, power routes, and maintenance aisles, and explain the design rationale.

Expected

A structured layout proposal describing area allocation, aisle planning, and key design principles.