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aidc2026ai-melon/aidc-ai-mcp

by Various

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.

MCP

aidc2026ai-melon/aidc-ai-mcp

Added 3 Sept 2026

#ai-datacenter#cdu#data-center-design#datacenter#korea#liquid-cooling#mcp#model-context-protocol
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

MCP connector for an AI data center automation tool. It provides remote access to a design engine for validation and layout via the MCP protocol. The engine itself is private, so only the remote MCP endpoint is exposed.

Best for

Best for
Developers needing a bridge between MCP clients and a hosted AI data center design service

Use cases

  • Connect MCP clients to a hosted data center design engine
  • Trigger validation checks on data center layouts through MCP
  • Bring design and layout automation into MCP-based workflows

How to use

Clients listed in this record (not verified here)

Claude Desktop, Cursor

Example client config

{
  "mcpServers": {
    "aidc-design-engine": {
      "url": "https://aidc-ai.io/api/mcp"
    }
  }
}

Notes

3 stars on GitHub. Last updated 2026-07-20. Licensed MIT.

Pros

  • Lightweight JavaScript wrapper for MCP
  • Simple remote endpoint at aidc-ai.io/api/mcp
  • Keeps the engine private while offering full connector access

Cons

  • Requires network dependency on the remote MCP service
  • Private engine limits customization and self-hosting
  • Only 3 stars, indicating minimal community adoption

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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