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 straightforward once you understand the permissions. I wonder why the OP didn’t do this and was instead using a simple health export CSV?
The main concern I had with releasing this or turning it into a tool was data security.
I have been swimming 1500m x 365 days of the year for the last 7 years. My use case was to build a personalised dashboard for my daily swimming and heart rate data to track detailed progress beyond what Apple offers. Having the ability to query this data with AI could be quite useful, rather than relying on manual reports.
There is a native export function in Health but it generates about 1-2 GB of XML per year, since the schema is extremely verbose, so it takes a while. On the other hand, it’s very literally self-describing. But no need for handing access to Health to more or less dubious apps. I also think you can „export“ select data points to „CSV“ using a ten step Shortcut. Might be quicker.
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 workouts / build workout plans. In my experience it still requires a lot of hand holding (sudden mileage increases w/w, inconsistent intervals, etc)
Very cool indeed. I started building something similar - relying on Auto Export [https://apps.apple.com/us/app/health-auto-export-json-csv/id...] to export my health data to an endpoint which stores it in a sqlite database. I never got as far as building an MCP server around the data but that's certainly the direction I was heading. The initial idea was to use my health data to provide context to a health/fitness agent that would recommend workouts, check-in on things, etc.
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 load into clickhouse or duckdb.
Super cool. An iPhone + Apple Watch generate about 40 distinct biomarkers of your data (resting heart rate, VO2max, workouts, sleep stages, sleep apnea risk, ECGs, and so on), but the ability to interpret them is very limited.
I work on an iOS health app, and I'd love to try integrating this. It'd help eliminate the step of having to manually export to a CSV every Sunday.
Feel free to shoot me an email if you want to collaborate!
What Apple health actually is? It’s Apple Watch. My data coming from Oura and Withings, I wonder maybe those would have better ways to integrate with actual API.
Show HN: Apple Health MCP Server
(github.com)199 points by _neil 23 July 2025 | 49 comments
Comments
This was quite straightforward once you understand the permissions. I wonder why the OP didn’t do this and was instead using a simple health export CSV?
The main concern I had with releasing this or turning it into a tool was data security.
I have been swimming 1500m x 365 days of the year for the last 7 years. My use case was to build a personalised dashboard for my daily swimming and heart rate data to track detailed progress beyond what Apple offers. Having the ability to query this data with AI could be quite useful, rather than relying on manual reports.
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 duckdb.)
if RubyLLM.with_tools(...).ask("Do my health metrics indicate I am stressed?") model = 'claude-4-opus' else model = 'claude-4-sonnet' end
I have a proof of concept here that turns the Apple Health export xml file into a timeseries .parquet that you can then load into clickhouse or duckdb.
https://github.com/atlaslib/atlas
Looking at the code (and "for the future..." note about LLM generated queries), you cannot ask arbitrary questions? Is that correct?
I work on an iOS health app, and I'd love to try integrating this. It'd help eliminate the step of having to manually export to a CSV every Sunday.
Feel free to shoot me an email if you want to collaborate!
Does it include health records (eg from Epic)?