# ccdb-mcp

> ccdb-mcp — carbonstop-ccdb-mcp. Use this tool when you need to search and compare professional carbon emission factors, enabling AI agents to make informed decisions about environmental impact. It solves problems related to carbon footprint analysis and sustainability planning by providing a comprehensive database of emission factors. The ccdb-mcp server accepts queries and returns relevant emission factor data, making it an ideal solution for applications requiring accurate carbon accounting and comparison.

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

## Description

CCDB MCP Server — search and compare professional carbon emission factors for AI agents

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/carbonstop/ccdb-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-ccdb-mcp"
    }
  }
}
```

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