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PopNx MCPMCP servers for people who use AI · explained in plain words

Healthfolder

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/healthfolder

Install

Overview

Description from the maker (original English)

Read a Health Access folder of Apple Watch workouts and vitals; write training plans back as files.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "healthfolder": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/healthfolder",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add healthfolder -- npx -y @reneturcios/healthfolder mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "healthfolder": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/healthfolder",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "healthfolder": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/healthfolder",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Clinics & healthi

  • More stars than 0% of the other 859 servers in this category
  • Published to the registry more recently than 94% of the other 859 servers in this category
  • Basic checks equal to or better than 100% of the other 859 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Healthfolder safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Mirobody

by thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

Runs on your computer★ 1,408Apache-2.0Updated 5 days ago
Install

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

Runs on your computer★ 137Apache-2.0Updated 8 days ago
Install

Google Health MCP

by davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

Runs on your computer★ 79MITUpdated 4 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

healthfolder

Read a Health Access folder of Apple Watch workouts and vitals, and write training plans back into it — as plain files. The folder an app writes from Apple Health (workouts, day files, an index, a profile) is the whole API: this package is a local stdio MCP server plus a CLI over that folder. No account, no network, nothing leaves the machine.

How the folder is found

First hit wins:

  1. --dir on the command line
  2. the HEALTHACCESS_DIR environment variable (alias TIDE_DIR)
  3. dir = "..." in ~/.config/healthaccess/config.toml (the path can be overridden with HEALTHACCESS_CONFIG; zone bounds can also be set there as zones = [133, 146, 158, 169])
  4. discovery: iCloud Drive, then ~/Library/CloudStorage/*, ~/Dropbox, ~/Google Drive, ~/OneDrive*, ~/Box, then ~/Documents. A Health Access folder holds an index.json of schema healthaccess.index.v1 and a workouts/ directory. If discovery finds several, the server refuses to guess and lists them.

Run healthfolder --check to print the resolved folder, where it came from, and the zone bounds in effect.

CLI

npx -y @reneturcios/healthfolder --check

npx -y @reneturcios/healthfolder list --sport swim --limit 5 npx -y @reneturcios/healthfolder show 7A1C3E90 npx -y @reneturcios/healthfolder vitals --days 14 npx -y @reneturcios/healthfolder summary --weeks 4 npx -y @reneturcios/healthfolder rate 7A1C3E90 7 "legs heavy, breathing fine" npx -y @reneturcios/healthfolder plan push ./s30.json npx -y @reneturcios/healthfolder plan status 2026-10-24T20:22:05Z-s30 npx -y @reneturcios/healthfolder plan list npx -y @reneturcios/healthfolder day 2026-05-14 npx -y @reneturcios/healthfolder days --from 2026-05-01 --to 2026-05-14 --groups heart,sleep npx -y @reneturcios/healthfolder catalog npx -y @reneturcios/healthfolder profile npx -y @reneturcios/healthfolder ecgs

Every command prints pretty JSON. Exit codes: 0 success, 1 domain or IO error, 2 usage error. --dir works on every subcommand.

MCP server

npx -y @reneturcios/healthfolder mcp

MCP client config:

{

"mcpServers": { "healthfolder": { "command": "npx", "args": ["-y", "@reneturcios/healthfolder", "mcp"] } } }

Add "--dir", " " to args to skip the folder search.

Tools (13)
ToolWhat it does
list_workoutsWorkouts from the index (deduplicated, newest first), one summary line each
get_workoutOne workout in full: document, summary, parts text, zones, cardiac cost
get_vitalsResting HR, HRV, body mass, sleep, steps, VO2max, blood pressure over the last N days
training_summaryOne entry per ISO week: volume, zones, effort, cardiac cost, rings from day files
rate_workoutStore the athlete's own effort rating (1–10) in the workout file
push_planValidate a training plan and write plans/ .json for the app to put on the Watch
get_plan_statusA plan's state: pending, scheduled, failed or cancelled
list_plansEvery plan with its state and planned distance/time
get_dayOne day file with every Health group it holds
get_daysDay files in a range (max 366 days), optionally reduced to named groups
get_catalogcatalog.json plus the export-coverage check
get_profileprofile.json as written
list_ecgsEvery ECG summary in ecg/, newest first

All results are pretty-printed JSON text with floats rounded to one decimal. Malformed arguments are JSON-RPC InvalidParams errors; domain problems (unknown id, failed validation, a refusal) come back as isError results with the reason in plain words.

Two safety rules are built in:

  • rate_workout only ever stores a number the athlete said. A workout that already carries Apple's own rating (effort_source: "apple") is refused unless the call passes override: true — the refusal names the file, the existing rating, and the remedy, and nothing is written.
  • push_plan reports every validation violation in one message (sport, name length, block/step shape, goal type and value, zone, label length), so a plan can be fixed in one pass.

Resources: healthaccess://index (the deduplicated index) and the template healthaccess://workout/{id} (one workout, heart-rate series included). MCP prompts are not implemented in this build.

Derived numbers
  • Zones. Four bounds, five zones. Bounds come from config.toml, else are estimated from the age in profile.json: max HR = 208 − 0.7 × age, bounds at 72/79/86/92 % of it (age 34 → [133, 146, 158, 169]). Zone seconds are computed from the heart-rate series: each sample's time until the next sample goes to that sample's zone, only time inside the workout counts, gaps over 60 s count as 60 s. With no bounds known, a file's own legacy zones are shown, marked bounds_source: "file".
  • Cardiac cost (swims only) = avg HR × best freestyle 100 m pace (s) / 60 = heart beats per 100 m; lower is better. The best 100 is the fastest work step of at least 95 m whose overlapping laps were at least half freestyle, normalised to 100 m; if no step qualifies and the swim is at least 100 m, the whole-workout pace is used.
  • Summary lines look like: 2026-05-14 Pool swim "S12" · 1200 m · 36:06 · avg HR 129 (max 162) · Z1–2 93% · effort 6/10 (apple) · best FR 100 2:12 → 284 beats/100 m — each segment appears only when its data exists.
Presence handshake

On initialize, and after tool calls at most once a minute, the server writes mcp/clients/ .json in the folder so the app can show "Connected". The id is the FNV-1a 64 hash of machine name + client name; the file carries the client name/version from the initialize request, the machine name (HEALTHACCESS_MACHINE overrides it), call counts carried over between writes, and the last tool name — never arguments or results. A failed write never fails a tool call. The CLI writes the same file, as client healthfolder-cli, only from the commands that write into the folder anyway (rate, plan push).

Docker

docker run -i ghcr.io/cloudcorprecords/healthfolder            # stdio MCP server

docker run --rm ghcr.io/cloudcorprecords/healthfolder list --dir /data

Mount the Health Access folder into the container and pass --dir (or set HEALTHACCESS_DIR) so the server can find it.

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (synthetic folders, no network) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios.

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