# mcp-global-forest-watch

> mcp-global-forest-watch — pipeworx-io-mcp-global-forest-watch. Use this tool when you need to analyze and explore global forest data, such as tree cover loss and gain, deforestation alerts, and carbon flux. It provides access to various datasets and allows running SQL queries against them, helping to solve problems related to environmental monitoring and conservation. Ideal for use cases requiring detailed forest data analysis, such as research, sustainability reporting, or policy development.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-global-forest-watch  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-global-forest-watch

## Description

The Global Forest Watch Data API from WRI and the University of Maryland — browse the datasets behind GFW (annual tree cover loss and gain, primary forest extent, GLAD and RADD deforestation alerts, fire alerts, carbon flux, protected areas) and run SQL against any version of them.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-global-forest-watch)

## 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": "pipeworx-io-mcp-global-forest-watch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-global-forest-watch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-global-forest-watch/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