ZBS Index What actually exists in applied AI, with the source next to it

mcp server

design-engine

AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.

Description as published by the maintainer. Source

  • version 1.0.0
  • active

active — Registry entry last updated 2026-06-25.

What this server can do

7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

agent_board_ack(messageId)
Mark a message addressed to this agent as acknowledged. Required: messageId.
agent_board_inbox(limit, status, threadId)
Read encrypted messages addressed to this configured agent.
agent_board_post(kind, topic, payload, idempotencyKey, expiresInSeconds, recipientAgentId)
Post an encrypted agent-to-agent request, response, or notice. Requires a configured free agent-board key. Required: idempotencyKey, topic, payload.
agent_board_reply(topic, payload, messageId, idempotencyKey, expiresInSeconds)
Reply to a visible encrypted agent-board message. Required: messageId, idempotencyKey, topic, payload.
design(gpuGen, region, options, parcels, itLoadMw, hallCount, siteAreaSqm, customInputs, rackDensityKw)
Generate a profile-aware AI data center design basis from IT load, rack density, GPU generation, site area, region, and optional project inputs. Required: itLoadMw, rackDensityKw, gpuGen, siteAreaSqm, region.
layout(design, siteAreaSqm, siteCentroid)
Generate profile-aware physical rack blocks, rack-plan candidates, and site layout data from a nested design request. Required: design.
validate(rawInput, designSummary)
Validate a previous design summary or raw design input against electrical, cooling, layout, safety, and data rules. Private EngineSessions are not exposed through public MCP.

Last successful function declaration observed on . Source: https://aidc-ai.io/api/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://aidc-ai.io/api/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-25 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-06-25 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 7 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe aidc-ai.io
mcp endpoint status ok The server listed 7 functions when asked. as of probe aidc-ai.io

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://aidc-ai.io/api/mcp — aidc-ai.io, observed , trust tier 4.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.