← aidc-ai.io

INDIVIDUAL MCP TOOL

validate

Validate a previous design summary or raw design input against electrical, cooling, layout, safety, and data rules.

aidc-ai.ionone authenticationAvailability not checked

LIVE ENDPOINT

https://aidc-ai.io/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for validate and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

aidc-ai.io

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aidc-design-engine]
url = "https://aidc-ai.io/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "aidc-design-engine": {
      "type": "http",
      "url": "https://aidc-ai.io/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: aidc-design-engine
Remote MCP URL: https://aidc-ai.io/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "aidc-design-engine": {
      "type": "http",
      "url": "https://aidc-ai.io/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "aidc-design-engine",
  "transport": "streamable-http",
  "url": "https://aidc-ai.io/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • design — Generate a profile-aware AI data center design basis from IT load, rack density, GPU generation, site area, region, and optional project inputs.
  • layout — Generate profile-aware physical rack blocks, rack-plan candidates, and site layout data from a nested design request.