# WattScope

> WattScope — au-com-wattscope-wattscope. Use this tool when you need to monitor and estimate the environmental impact of your AI operations, tracking carbon footprint at the organization and project level. WattScope solves the problem of invisible energy consumption by AI models, providing insights to inform sustainable IT practices. It takes AI model usage data as input and outputs estimated carbon footprint metrics, helping organizations reduce their environmental footprint.

Canonical page: https://skillsregistry.net/skills/au-com-wattscope-wattscope  
JSON: https://api.skillsregistry.net/v1/skills/au-com-wattscope-wattscope

## Description

Tracks the estimated carbon footprint of AI model usage, per org and project.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-13

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/au.com.wattscope%2Fwattscope)

## Use it

MCP endpoint published by the skill: `https://www.wattscope.com.au/mcp`

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": "au-com-wattscope-wattscope"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/au-com-wattscope-wattscope` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/au-com-wattscope-wattscope/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
