[](https://glama.ai/mcp/servers/aidc2026ai-melon/aidc-ai-mcp) - Deterministic AI data-center design engine exposed as MCP tools (design, validate, layout): rack count, design PUE…
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Not distributed through a package registry we index.
Attributed to the source that supplied each field. Treated as claims, not facts.
[](https://glama.ai/mcp/servers/aidc2026ai-melon/aidc-ai-mcp) - Deterministic AI data-center design engine exposed as MCP tools (design, validate, layout): rack count, design PUE, total MVA, liquid/air cooling split, CDU planning, cost & timeline. NVIDIA Rubin-era, 22.9 kV intake, Korea. Remote Streamable HTTP at https://aidc-ai.io/api/mcp; no key for the anonymous tier.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.