原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Healthfolder

作者:CloudCorpRecords版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.CloudCorpRecords/healthfolder

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 诊所与健康

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 CloudCorpRecords 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“诊所与健康”中的其他服务器比较i

  • 星标数多于此分类中其他 860 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 860 个服务器的 94% 更新
  • 基础检查结果等于或优于此分类中其他 860 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Healthfolder 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于昨天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Docker。

有什么可以替代它?

同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Mirobody

作者:thetahealth

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

在你的电脑上运行★ 1,408Apache-2.05天前更新
安装

FHIR MCP Server

作者:wso2

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

在你的电脑上运行★ 137Apache-2.08天前更新
安装

Google Health MCP

作者:davidmosiah

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

在你的电脑上运行★ 79MIT4个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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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