# Apple Health Shortcuts MCP

> Apple Health Shortcuts MCP — qiu6154-art-apple-health-shortcuts-mcp. Use this tool when you need to access and analyze Apple Health data in a secure and private manner. It solves problems related to health data integration and analysis by providing read-only access to current status, detailed sleep and metrics, and trends over various time periods. The tool takes Apple Health data as input and outputs relevant insights and trends, making it ideal for use cases where health data needs to be queried and analyzed in a controlled environment.

Canonical page: https://skillsregistry.net/skills/qiu6154-art-apple-health-shortcuts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qiu6154-art-apple-health-shortcuts-mcp

## Description

Enables AI to query Apple Health data through three read-only tools: current status, detailed sleep/metrics, and trends over 7/14/30 days. It deploys to Cloudflare quickly, keeping health data private and access-controlled.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gt856f0aht)
- **Repository:** <https://github.com/qiu6154-art/apple-health-shortcuts-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": "qiu6154-art-apple-health-shortcuts-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qiu6154-art-apple-health-shortcuts-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qiu6154-art-apple-health-shortcuts-mcp/pull`

---
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