# datacenter-mcp-server

> Use this tool when you need to perform complex data center engineering calculations, such as cooling and power requirements, to ensure compliance with industry standards like ASHRAE and Uptime Institute. It solves problems related to data center design, optimization, and commissioning, providing accurate outputs for UPS/battery sizing, tier classification, and GPU thermal optimization. Input parameters include data center specifications and requirements, with output results informing data-driven decisions for efficient and reliable data center operations.

Canonical page: https://skillsregistry.net/skills/log-wade-datacenter-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/log-wade-datacenter-mcp-server

## Description

Provides professional-grade data center engineering calculations including cooling, power, GPU thermal optimization, UPS/battery sizing, tier classification, and commissioning workflows, compliant with ASHRAE and Uptime Institute standards.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wk1contyip)
- **Repository:** <https://github.com/log-wade/datacenter-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "log-wade-datacenter-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/log-wade-datacenter-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/log-wade-datacenter-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt