# AIDC AI Design Engine

> AIDC AI Design Engine — aidc2026ai-melon-aidc-ai-mcp. Use this tool when you need to design and optimize AI data centers with precise sizing, validation, and physical layout capabilities. It solves problems related to efficient data center planning and deployment, supporting various NVIDIA architectures. The tool accepts input parameters and returns optimized design outputs, ideal for use cases where deterministic AI design is crucial, such as large-scale AI deployments and high-performance computing applications.

Canonical page: https://skillsregistry.net/skills/aidc2026ai-melon-aidc-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aidc2026ai-melon-aidc-ai-mcp

## Description

Deterministic AI data-center design engine exposed as MCP tools for sizing, validation, and physical layout. Supports NVIDIA Hopper, Blackwell, and Vera Rubin with anonymous access to the remote engine.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ow2dnbf7zw)
- **Repository:** <https://github.com/aidc2026ai-melon/aidc-ai-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aidc2026ai-melon-aidc-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aidc2026ai-melon-aidc-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aidc2026ai-melon-aidc-ai-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
