Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
MCP server for Apple Health CSV exports
This server lets an MCP client query Apple Health data from local CSV exports using DuckDB and SQL. It loads tables on demand, keeps the data local, and offers tools for schema discovery, read-only queries, and health summaries.
Builders who want their MCP client to answer questions about sleep, workouts, activity, and heart data from a local Apple Health export.
You can ask questions about your health history without reformatting the export or moving the data off your machine.
What it does
Schema discovery
`health_schema` lists table names, columns, units, and sample rows so you can see how the export was loaded.
Read-only SQL queries
`health_query` runs `SELECT` queries and returns results as JSON, CSV, or a summary.
Health summaries
`health_report` generates weekly, monthly, or custom summaries from the export.
Local file loading
The server reads the Apple Health CSV files in place from `HEALTH_DATA_DIR` and does not upload them.
In-memory DuckDB execution
It loads tables into DuckDB on demand and applies a memory cap through `MAX_MEMORY_MB`.
How to get it
- 1Health reports summarize recorded data and are not medical advice.
git clone https://github.com/neiltron/apple-health-mcp.git cd apple-health-mcp bun install npm test npm run typecheck npm run build
README
Apple Health MCP Server
Query Apple Health data from an MCP client using SQL and DuckDB. The server runs locally, reads CSV exports on demand, and provides tools for schema discovery, read-only queries, and health summaries.
Requirements
- Node.js 22 or newer
- An Apple Health CSV export created with Simple Health Export CSV
The native Apple Health export.xml format is not currently supported.
Configure an MCP client
For Claude Desktop, add the following to
~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"apple-health": {
"command": "npx",
"args": ["-y", "@neiltron/apple-health-mcp"],
"env": {
"HEALTH_DATA_DIR": "/path/to/your/unzipped/health-export"
}
}
}
}
Restart the client after changing its configuration. Other MCP clients can use
the same command, arguments, environment, and stdio transport.
Environment variables
| Variable | Required | Default | Purpose |
|---|---|---|---|
HEALTH_DATA_DIR | Yes | — | Directory containing the exported CSV files |
MAX_MEMORY_MB | No | 2048 | DuckDB memory limit in megabytes |
CACHE_SIZE | No | 100 | Maximum number of cached query results |
Export health data
- Install and open Simple Health Export CSV on your iPhone.
- Select All and choose the time range to export.
- Transfer the archive to the computer running your MCP client.
- Unzip it and set
HEALTH_DATA_DIRto the resulting directory.
The server reads the files in place. It does not upload the export or make network requests, although query results returned to your MCP client may be sent to that client's configured model provider.
Tools
| Tool | Purpose |
|---|---|
health_schema | Discover table names, columns, units, and sample rows |
health_query | Run a read-only SELECT query with JSON, CSV, or summary output |
health_report | Generate a weekly, monthly, or custom health summary |
Start with health_schema; table names depend on the files in your export.
See Querying Apple Health data
for the data model and working examples.
History and memory
The first request that needs a table loads that table's full CSV history. There is no date window, so a query can reach as far back as the export goes.
Because every tool can reach the whole configured history, only start this server from an MCP client you trust with that data.
Loaded tables are held in memory, and DuckDB is given the MAX_MEMORY_MB limit
described above. Roughly 1 GiB covers a two-year multi-table export, so the
2048MB default leaves headroom; raise MAX_MEMORY_MB for a larger export. The
server never spills health rows to a temporary directory on disk, so an export
that does not fit in the limit fails with an explicit error instead.
Other current limitations:
- Only the Simple Health Export CSV layout is supported.
- The DuckDB database is in memory and is rebuilt for each server process, so each launch reloads from the CSV files. Persistent incremental import is planned future work, not current behavior.
- Device overlap can produce duplicate-looking measurements; queries should
account for
sourceNamewhere appropriate. - Health reports summarize recorded data and are not medical advice.
Development
git clone https://github.com/neiltron/apple-health-mcp.git
cd apple-health-mcp
bun install
npm test
npm run typecheck
npm run build
See Architecture for the code layout, data lifecycle, and implementation constraints.
License
MIT
Files in the repo
- .github
- docs
- src
- tools
- .gitattributes
- .gitignore
- .npmignore
- AGENTS.md
- bun.lock
- CLAUDE.md
- LICENSE
- oxlint.config.ts
- package.json
- README.md
- server.json
- tsconfig.json
Discussion (0)
Ask about usage, or say what you built with itSign in to join the discussion.
No comments yet. Be the first to say what this is good for.
More connectors
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
20 MB lightweight cross-platform database client for 90+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker. | 轻量级跨平台数据库管理工具,支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、达梦等 90+ 数据库,提供桌面端、Docker、CLI、内置 AI 助手和 MCP Server。