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  1. Home
  2. πŸ—„οΈ Databases
  3. Apple Health
Apple Health logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 10:59:36 PM

Apple Health

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository567 GitHub StarsTotal stargazers on GitHub for the source repository (567 stars).Visit Website

Query and analyze Apple Health CSV exports using DuckDB.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "apple-health": {
      "command": "npx",
      "args": [
        "-y",
        "@neiltron/apple-health-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ—„οΈ More in Databases

Documentation Overview

Apple Health MCP Server

npm version License: MIT

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:

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

VariableRequiredDefaultPurpose
HEALTH_DATA_DIRYesβ€”Directory containing the exported CSV files
MAX_MEMORY_MBNo2048DuckDB memory limit in megabytes
CACHE_SIZENo100Maximum number of cached query results

Export health data

  1. Install and open Simple Health Export CSV on your iPhone.
  2. Select All and choose the time range to export.
  3. Transfer the archive to the computer running your MCP client.
  4. Unzip it and set HEALTH_DATA_DIR to 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

ToolPurpose
health_schemaDiscover table names, columns, units, and sample rows
health_queryRun a read-only SELECT query with JSON, CSV, or summary output
health_reportGenerate 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 sourceName where appropriate.
  • Health reports summarize recorded data and are not medical advice.

Development

bash
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

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Apple Health

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "apple-health": { "command": "npx", "args": ["-y", "Apple Health"] } }

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Technical Specs & Signals

CategoryπŸ—„οΈDatabases
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars567
GitHub Star CountTotal stargazers on GitHub representing community popularity (567 stars).
41Quality signal: Fair Β· 41/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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