# NOVTRIQ Engineering

> NOVTRIQ Engineering — novtriq-tech-novtriq-engineering-mcp. Use this tool when you need to ensure engineering compliance and perform calculations for the built environment, solving problems related to data-centre efficiency, building codes, and regulatory standards. It provides 27 deterministic tools with outputs that cite governing standards, accessible via MCP and REST API. Ideal for AI agents requiring accurate and reliable engineering calculations in various contexts, including construction, architecture, and urban planning.

Canonical page: https://skillsregistry.net/skills/novtriq-tech-novtriq-engineering-mcp  
JSON: https://api.skillsregistry.net/v1/skills/novtriq-tech-novtriq-engineering-mcp

## Description

27 deterministic engineering compliance and calculation tools for the built environment (data-centre PUE and EED, EPBD, NIS2, Eurocode, UAE compliance), callable by AI agents via MCP and REST API. Free tier; every result cites the governing standard.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ph998awuiq)
- **Repository:** <https://github.com/novtriq-tech/novtriq-engineering-mcp>

## 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": "novtriq-tech-novtriq-engineering-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/novtriq-tech-novtriq-engineering-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/novtriq-tech-novtriq-engineering-mcp/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