Apple Health MCP

Infrastructure

mcp server for health data

SHOW HN2025

199points
49comments
#329of 3,837 in 2025
Top 9%of 2025 by points

How HN took it

LovedMost comments that take a side are positive

6 positive, 13 neutral or asking, 0 mixed, 0 critical, out of 19 comments about the project. Thread score +0.30.

Idea: 3 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Cool idea and useful for querying health data with AI

    From 3 comments
    • This is really cool - I recently worked on a tool that I installed on my iPhone, which extracts all health data nightly to CSV and then to a cloud database. This was quite…
      woodylondon on HN
    • This is awesome! I’ve been working on and off for the last few months on an AI running coach app. Would love to compare notes of effectively prompting Claude or O3 to analyze…
      friggeri on HN
    • Can imagine this is really useful for development too. if RubyLLM.with_tools(...).ask("Do my health metrics indicate I am stressed?") model = 'claude-4-opus' else model =…
      hahahacorn on HN

Objections

  • Manual CSV export every week is a lot of steps

    From 1 comment
  • Health data is sensitive and should be exported deliberately

    From 1 comment
    • I thought this was sort of deliberate for Apple Health. People use it to track sensitive information, like reproductive and mental health data, that should only be exported very…
      mattkrause on HN

Requests

  • Support the native Apple Health XML export

    From 2 comments
    • Yes, the native export is the whole enchilada. Please do it!
      dcreater on HN
    • I actually started with this but the export always had the appearance of stalling unless I left it for long periods. For a first version, the CSV export app was much quicker. And…
      _neil on HN
  • Package as a desktop extension for Claude's directory

    From 1 comment
    • Hey Neil, this is cool! If you package it up as a desktop extension (https://github.com/anthropics/dxt) and send it to me…
      felixrieseberg on HN
  • Add examples of chat questions and answers

    From 1 comment
    • Can you please add examples of actual chat questions and answers so that we can understand how it actually performs?
      dcreater on HN

Questions

  • Is any of it open source and what tools are used for the CSV?

    From 1 comment
    • Is any of it open source? What tools for the CSV? I’d like to build a dashboard of my cycling rides?
      pheeney on HN
  • Can arbitrary questions be asked or only predefined ones?

    From 1 comment
    • This is SO freaking cool. I'm doing something similar for a startup, albeit in a different domain and against a massive dataset. Looking at the code (and "for the future..." note…
      leguy on HN

Alternatives named

  • healthkit-to-sqlite

    From 1 comment
    • Love it! For getting Apple Health data into duckdb, I’ve used this in the past: https://github.com/dogsheep/healthkit-to-sqlite. (You can load the SQLite database directly in…
      hcm on HN
  • Health Auto Export app

    From 1 comment
    • Very cool indeed. I started building something similar - relying on Auto Export [https://apps.apple.com/us/app/health-auto-export-json-csv/id1115567069] to export my health data…
      monatron on HN
  • Fulcra Context

    From 1 comment
    • Hey - if you're interested in prototyping with real data, we've built a platform for stuff like this -- Fulcra Context (https://www.fulcradynamics.com/). We have an iOS app that…
      cstone on HN
  • atlas parquet tool for Apple Health XML

    From 1 comment
    • If you are looking for a way to explore Apple Health data: I have a proof of concept here that turns the Apple Health export xml file into a timeseries .parquet that you can then…
      tosh on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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