# personal-health-mcp

> Use this tool when you need to fetch and analyze body composition data, such as weight and body fat percentage, to inform health and wellness decisions. It solves problems related to accessing and utilizing health metrics by providing a seamless interface to the Tanita Health Planet API. The tool takes API credentials as input and outputs body composition data for use in AI-powered applications.

Canonical page: https://skillsregistry.net/skills/okizuka-hitts-personal-health-mcp  
JSON: https://api.skillsregistry.net/v1/skills/okizuka-hitts-personal-health-mcp

## Description

Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vzk4nelnm3)
- **Repository:** <https://github.com/okizuka-hitts/personal-health-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": "okizuka-hitts-personal-health-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/okizuka-hitts-personal-health-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/okizuka-hitts-personal-health-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