# Health4AI

> Use this tool when you need to synchronize Apple HealthKit data with PostgreSQL databases, enabling reliable and private health data management. Health4AI solves problems of fragmented health data and limited analytics capabilities, providing 11 tools for insights into health trends, workouts, and daily snapshots. It takes Apple HealthKit data as input and outputs synchronized data to PostgreSQL databases, including Supabase, Neon, and self-hosted options.

Canonical page: https://skillsregistry.net/skills/jefflitt1-health4ai  
JSON: https://api.skillsregistry.net/v1/skills/jefflitt1-health4ai

## Description

Apple HealthKit → PostgreSQL sync + MCP server for Claude Code, Cursor, and Ollama. Open-source iOS app with reliable background sync (HKObserverQuery). 11 tools covering health summary, sleep, HRV trends, workouts, daily snapshots, metric stats, period comparison, and coaching briefs. Supports Supabase, Neon, and self-hosted Postgres. Privacy-first: your data goes to your own database.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i09q1f1nuv)
- **Repository:** <https://github.com/jefflitt1/health4ai>

## 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": "jefflitt1-health4ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jefflitt1-health4ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jefflitt1-health4ai/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