Observed Signal · Jun 19, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Neutral
Give Claude Code Access to Apple Health Data
A developer guide explains how to enable Claude Code (and other MCP clients) to query Apple Health data by running a local sync stack called health4.ai. Because Apple does not provide a HealthKit REST API and HealthKit data is restricted to on-device access, the author built an iOS app that uses HKObserverQuery and BGTaskScheduler to push HealthKit samples into a Postgres database, and a Python FastMCP server that reads that database and exposes 11 MCP tools to any MCP-capable client (Claude Code, Cursor, Ollama). The project is open-source on GitHub (MIT license); the iOS TestFlight link is pending. The architecture emphasises user data ownership — data flows from the iPhone to the user-controlled Postgres instance — and offers sample prompts and tool names (e.g., get_sleep, get_hrv_trend) for querying health metrics.
Open-source technical guide/tooling that enables LLM clients to access on-device Apple HealthKit data via a user-controlled Postgres + MCP stack. Relevant to developers building private data integrations and agent tooling, but it does not materially affect AdTech/MarTech market dynamics.
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Key Takeaways & Evidence Grounding
- Apple provides no HealthKit REST API; HealthKit access is limited to on-device iOS apps with user permission.
- health4.ai implements: iPhone (HKObserverQuery) → Postgres database → FastMCP server → MCP clients (Claude Code, Cursor, Ollama).
- The iOS app uses HKObserverQuery and BGTaskScheduler to sync HealthKit samples and backfills historical data (author reported ~5.6 million rows).
- Data is stored in an EAV-style Postgres schema with columns including metric_type, value, unit, started_at, ended_at, source_device, and metadata JSONB; new metric types don't require schema migrations.
- The FastMCP Python server exposes 11 MCP tools (e.g., get_sleep, get_hrv_trend, get_health_summary) and reads directly from the user's Postgres instance; code is on GitHub under an MIT license.
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