# apple-health-mcp

> Use this tool when you need to analyze and query Apple Health data, solving problems of data accessibility and insights into personal health metrics and workout records. It takes Apple Health export data as input and outputs query results via natural language interface, allowing users to explore their health data in a flexible and intuitive way. Ideal for use cases where users want to gain deeper understanding of their health and fitness trends.

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

## Description

Loads Apple Health export data into a local SQLite database and exposes tools to query health metrics and workout records via natural language.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pgksfns527)
- **Repository:** <https://github.com/smarzola/apple-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": "smarzola-apple-health-mcp"
    }
  }
}
```

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