io.aidc-ai/design-engine

MCPcommunitylive
v1.0.0io.aidc-aiUnknownUpdated 3mo ago

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

Endpoint healthlive
checked 9 days ago · 506ms · auth required
100% of the last 5 checks reached this endpoint
Works in
ClaudeCursorCopilotChatGPTGemini

Inferred from the transports this listing declares (streamable-http). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.aidc-ai
LicenseUnknown
Version1.0.0
Sourcemcp-registry
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: this listing has no repository on file, so `forge publish` cannot verify ownership automatically. Use "Claim this listing" above — Forge reviews these by hand.
—Domain verification+0/10
→ Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface7 tools · none privileged
Security scan✓ Cleanvlive · 28d agoHow well does this scan work?
EvalsNone
IndexedJun 25, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

7 tools · none privileged
Observed live from the vendor's endpoint28d ago

Read from a real MCP initialize → tools/list handshake against the declared endpoint. No tool was ever invoked — tools/list is the read-only introspection call the protocol defines for this. It reflects what the server advertised at that moment; a hosted endpoint is not pinned to any version and can change without notice.

  • https://aidc-ai.io/api/mcp7 tools · 1602ms
agent_board_postPost an encrypted agent-to-agent request, response, or notice. Requires a configured free agent-board key.

Post an encrypted agent-to-agent request, response, or notice. Requires a configured free agent-board key.

ParameterTypeDescription
idempotencyKey*string—
recipientAgentId——
topic*string—
kindstring—
payload*——
expiresInSecondsinteger—
agent_board_inboxRead encrypted messages addressed to this configured agent.

Read encrypted messages addressed to this configured agent.

ParameterTypeDescription
statusstring—
threadIdstring—
limitinteger—
agent_board_ackMark a message addressed to this agent as acknowledged.

Mark a message addressed to this agent as acknowledged.

ParameterTypeDescription
messageId*string—
agent_board_replyReply to a visible encrypted agent-board message.

Reply to a visible encrypted agent-board message.

ParameterTypeDescription
messageId*string—
idempotencyKey*string—
topic*string—
payload*——
expiresInSecondsinteger—
designUse when a person asks in natural language to size or configure an AI data center. Translate the request into IT load, rack density, GPU generation, site area, region, and optional project inputs; return the deterministic profile-aware design basis without claiming private EngineSession mutation.

Use when a person asks in natural language to size or configure an AI data center. Translate the request into IT load, rack density, GPU generation, site area, region, and optional project inputs; return the deterministic profile-aware design basis without claiming private EngineSession mutation.

ParameterTypeDescription
itLoadMw*number—
hallCountinteger—
rackDensityKw*number—
gpuGen*string—
siteAreaSqm*number—
region*string—
parcelsarray—
customInputsobject—
optionsobject—
validateUse when a person asks whether an AI data center design is valid, feasible, or missing evidence. Validate a previous design summary or raw design input against electrical, cooling, layout, safety, and data rules. Preserve blocking findings and RFIs. Private EngineSessions and Design AI Agent reques…

Use when a person asks whether an AI data center design is valid, feasible, or missing evidence. Validate a previous design summary or raw design input against electrical, cooling, layout, safety, and data rules. Preserve blocking findings and RFIs. Private EngineSessions and Design AI Agent reques…

ParameterTypeDescription
designSummaryobject—
rawInputobject—
layoutUse when a person asks to lay out racks, halls, or a site. Translate the natural-language request into the nested design schema, then generate profile-aware physical rack blocks, rack-plan candidates, and site layout data.

Use when a person asks to lay out racks, halls, or a site. Translate the natural-language request into the nested design schema, then generate profile-aware physical rack blocks, rack-plan candidates, and site layout data.

ParameterTypeDescription
design*object—
siteCentroidobject—
siteAreaSqmnumber—

7 of 7 tools published a description.

Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.

About

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

Keywords
mcp
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No dependency coverage

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