# Apple Health Chat MCP

> Use this tool when you need to analyze and retrieve insights from Apple Health data, solving problems like tracking fitness progress and monitoring health metrics. It takes local CSV exports as input and provides natural language answers as output, supporting various metrics such as steps, heart rate, and sleep. This tool is ideal for users seeking to leverage their Apple Health data to inform their wellness decisions.

Canonical page: https://skillsregistry.net/skills/gh33k-apple-health-chat-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gh33k-apple-health-chat-mcp

## Description

Enables Claude to answer natural language questions about your Apple Health data by analyzing local CSV exports, supporting metrics like steps, heart rate, sleep, and more.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tye7k936gg)
- **Repository:** <https://github.com/gh33k/apple-health-chat-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": "gh33k-apple-health-chat-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh33k-apple-health-chat-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh33k-apple-health-chat-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