# mcp-water-levels

> mcp-water-levels — pipeworx-io-mcp-water-levels. Use this tool when you need to monitor and analyze lake and reservoir water levels, solving problems related to water resource management and environmental monitoring. It provides inputs from satellite radar altimetry and outputs water level data, which can be accessed through a git interface. Ideal for use in hydrology, ecology, and climate change research contexts.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-water-levels  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-water-levels

## Description

Lake and reservoir water levels from satellite radar altimetry —

## Trust

- **Trust score (0–1):** 0.97
- **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-water-levels)

## 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-water-levels"
    }
  }
}
```

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