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aidc-ai-mcp

MCP Server Memory Low risk

AI data center automation tool — MCP connector (design · validate · layout). Remote MCP: aidc-ai.io/api/mcp · registry io.aidc-ai/design-engine. Engine private.

AI数据中心自动化工具——MCP连接器(设计·验证·布局)。远程MCP:aidc-ai.io/api/mcp · 注册表 io.aidc-ai/design-engine。引擎私有。

How to install

No unified install command; see the repository README.

About

AIDC-AI.IO — MCP Connector **AI data center sizing, validation, and layout via a remote MCP server.** AI 데이터센터 자동화 툴: 결정론적 엔진으로 AI 데이터센터를 설계·검증·레이아웃합니다. --- What is this? This repository shows how to connect an MCP client or REST client to the **AIDC-AI.IO Design Engine** — a deterministic, source-backed engine that sizes, validates, and lays out Rubin-era AI data centers. **What the engine does (on the server):** Accepts an IT load, rack density, GPU generation (Hopper / Blackwell / **NVIDIA Vera Rubin** NVL72 / VR200), and site constraints. Returns deployment-unit-snapped rack counts, design…

Recommendation signals

38 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
38 Overall
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Meta

License
MIT
Language
JavaScript
GitHub stars
3
mo. downloads
–
Last push
2026-07-20
Created
2026-06-25

Links

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:punkpeye/awesome-mcp-servers
Topics
ai-datacenter, cdu, data-center-design, datacenter, korea, liquid-cooling, mcp, model-context-protocol, nvidia-rubin, pue

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