# carbonstop-mcp

> Use this tool when you need to analyze and model carbon footprints, query product emissions, or perform emission analysis. The carbonstop-mcp server enables AI assistants to automate these tasks via the Carbonstop Cloud API, providing inputs such as product data and outputs such as emission reports. Ideal for use cases requiring environmental impact assessments and sustainability metrics.

Canonical page: https://skillsregistry.net/skills/carbonstop-hub-carbonstop-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carbonstop-hub-carbonstop-mcp

## Description

MCP server enabling AI assistants to automatically perform carbon footprint modeling, product queries, and emission analysis via the Carbonstop Cloud API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ut4irlvwuq)
- **Repository:** <https://github.com/carbonstop-hub/carbonstop-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": "carbonstop-hub-carbonstop-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carbonstop-hub-carbonstop-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carbonstop-hub-carbonstop-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