About aidc-mcp-server
AIDC MCP for OPR/BOD sizing, validation, and rackPlan layout from the shared 3D graph
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y aidc-mcp-serverAIDC_API_KEYSecretRegistered AIDC integration key. Obtain access through https://aidc-ai.io/contact.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
3Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| gpuGen | enum | Yes | NVIDIA GPU generation: hopper, blackwell, or rubin.hopper | blackwell | rubin |
| region | enum | Yes | Metropolitan or regional site class.metropolitan | regional |
| options | object | No | Optional redundancy, cooling-mode, and PUE overrides. |
| options.pueTarget | number | No | |
| options.redundancy | enum | No | n | n_plus_1 | 2n |
| options.coolingMode | enum | No | air | hybrid | liquid |
| parcels | array | No | Optional bounded GeoJSON parcel features. |
| itLoadMw | number | Yes | IT load in megawatts. 0 < x <= 1000. |
| hallCount | integer | No | Optional requested data-hall count. |
| siteAreaSqm | number | Yes | Total site area in square meters. |
| customInputs | object | No | Optional project-specific design inputs. |
| rackDensityKw | number | Yes | Requested per-rack power in kW. 0 < x <= 500. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.