# mcp_hydration

> Use this tool when you need to track and manage your daily water intake, as it enables users to log hydration data via natural language, solving problems related to monitoring and maintaining healthy drinking habits. It takes in natural language inputs and outputs personalized hydration tracking data. Ideal for use in health and wellness contexts where monitoring water intake is essential.

Canonical page: https://skillsregistry.net/skills/jprly-mcp-hydration  
JSON: https://api.skillsregistry.net/v1/skills/jprly-mcp-hydration

## Description

MCP server for tracking water intake, enabling users to log and manage hydration data via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rp5fdoffxh)
- **Repository:** <https://github.com/jprly/mcp_hydration>

## 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": "jprly-mcp-hydration"
    }
  }
}
```

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