Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者による説明(英語の原文)
Marrow Health: your Apple Health data over MCP, from the free iOS app. Reads, and writes on demand.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"marrow": {
"command": "uvx",
"args": [
"marrow-mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add marrow -- uvx marrow-mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"marrow": {
"command": "uvx",
"args": [
"marrow-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"marrow": {
"type": "stdio",
"command": "uvx",
"args": [
"marrow-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名はドメイン skeletonarmy.tech で確認済みです(レジストリがドメインの所有を確認しています)
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.4.1)がレジストリに届いたのは15 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Mirobody, FHIR MCP Server, Google Health MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
marrow-mcp)Let your AI agents read your own Apple Health data.
Marrow is a free iOS app that tracks 178 health data series - 172 Apple Health types plus its own meal diary and set-by-set weightlifting log. This repo is its self-hosted companion server: one Python file, standard library only, that keeps a SQLite mirror of your data on hardware you own and serves it over the Model Context Protocol so agents can query it 24/7, phone in your pocket.
Nothing here talks to a cloud. Data flows phone → your machine, full stop.
pip install "marrow-mcp[qr]" # [qr] adds segno, which draws the pairing QR
marrow-server --port 8800 --data ./data # prints a pairing URL
Without [qr] the pairing page shows the pairing JSON instead of a code.
or from a clone
python3 marrow_server.py # prints a pairing URL
python3 marrow_server.py --port 8800 --data ./data
or with Docker
docker compose up -d
Open the pairing URL on any screen, then in Marrow: Export, Server MCP, Pair with a server, and scan. From then on the app's background pushes keep the mirror current with the app closed. The app pairs over plain http only on your own networks (a private or tailnet IPv4 address, a .local or .ts.net name, a short LAN name). A public address needs https (--url https://...).
Stop the old server and start the new one on the same --data directory. An existing mirror.sqlite gains the new columns on first start, and the tokens in --data carry over, so the phone stays paired. Sets logged by Marrow 1.4 carry a set_type (work, warmup, failure or drop). Warm-ups are still listed but no longer count toward volume or records, and rows mirrored before the upgrade read as work sets.
The server speaks MCP over Streamable HTTP (JSON-RPC 2.0, protocol version 2025-06-18), authenticated with a bearer token it generates on first run and prints alongside the pairing link.
Claude Code
claude mcp add --transport http marrow \
http:// :8800/mcp \ --header "Authorization: Bearer "
Claude Desktop, one click
Download marrow.mcpb, double-click it, and Claude Desktop installs the extension and asks for the URL and token. No terminal involved. (The bundle is a tiny zero-dependency bridge in mcpb/. It forwards Claude's stdio to your Marrow URL and nothing else.)
Claude Desktop (manual), Cursor, or anything using an `mcp.json`
{
"mcpServers": { "marrow": { "type": "http", "url": "http:// :8800/mcp", "headers": { "Authorization": "Bearer " } } } }
Check it by hand
curl -s http://<server-ip>:8800/mcp \
-H "Authorization: Bearer " \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Thirteen tools, all of them reads. The server also carries write tools (log a meal, a workout and so on), but it lists them only after a phone registers it for write-back, and today only Marrow Connect does that. A self-hosted server paired from the app serves the thirteen reads and nothing an agent can call writes to your health record.
Four of them answer in the app's own terms, scored against your own trailing normal with the same math the app's Home page uses (the day itself excluded), so an agent starts from a read that is already true for you instead of judging a number against the population:
| Tool | Returns |
|---|---|
daily_brief | One day: each key metric with its value and a phrase (normal for you, above your normal, well below your normal), food and water against your targets, last night's sleep, training done, mood and symptoms, and flags worth mentioning |
baselines | Your own normal per metric: mean and spread over the window, the latest value's z and phrase, the 7-day mean and the 90-day trend per month |
what_changed | The recent days against the period before them: what moved and how notable it is for you, food, training, sleep and bedtime shifts, and streams that started or stopped arriving |
data_quality | What the mirror holds and how fresh it is: per metric the latest day, coverage, cadence, sources and whether it has gone stale, plus diary, sleep and training coverage and when the phone last synced |
The nine raw reads:
| Tool | Returns |
|---|---|
health_summary | Recent days across activity, heart, sleep and nutrition |
list_metrics | Every metric in the mirror, with units and coverage |
metric_daily | Daily values for any metric, up to 400 days |
metric_samples | Raw records with timestamps and source devices |
workouts | Workouts from every source: activity, start, end, duration and source |
nutrition_log | The meal diary: every logged food with full nutrient detail, by day |
strength_log | Every lifting set with its set type and estimated 1RM, per-exercise progression, and volume per muscle group (warm-ups left out) |
sleep_log | One night per wake day: bedtime, wake time, hours asleep, minutes per stage |
symptoms_and_mood | Symptoms with their severity, and State of Mind entries with valence, feelings and what they were about |
Every read takes days back from the phone's today, or from and to on the phone's calendar. metric_samples pages with before (the start of the last record you have). Tools with an output schema also answer with structuredContent.
Four prompts come with the server (how_am_i_doing, weekly_review, doctor_prep, log_from_text) and four resources (marrow://today, marrow://metrics, marrow://targets, marrow://quality), for the clients that show them.
Metric keys: list_metrics shows Apple's short names (active_energy_burned), and the tools also accept the app's own keys (active_energy, heart_rate_variability), so an agent moved over from the phone keeps its vocabulary.
Then ask your agent things like *"how did my sleep change once I started training in the mornings?"* and let it go and look.
/plugin marketplace add MarrowHealth/marrow-mcp then /plugin install marrow-health@marrow. It adds the Marrow Connect server and four commands (/marrow-health:how-am-i-doing, weekly-review, doctor-prep, log) plus a skill that knows which tool answers what.Both Claude (Pro/Max, US) and ChatGPT now read Apple Health natively. Use them if that is all you need. They stop where this server starts:
| Claude / ChatGPT connector | Marrow + this server | |
|---|---|---|
| Where it works | The iOS app only | Claude Code, Claude Desktop, Cursor, OpenClaw, Hermes, any MCP client, on any machine |
| When it works | While you are in the chat on the phone | 24/7, phone in your pocket, from your own box |
| What the model sees | Raw HealthKit numbers | Daily values reconciled against Apple's own totals, meal diary, set-by-set lifts |
| Where the data lives | Their cloud, per conversation | SQLite on hardware you own |
| Cost | Subscription | Free, MIT |
OpenClaw / Hermes / any agent on a home machine. Point the agent's MCP config at the server URL with the bearer token, exactly as in the mcp.json block above. Reach it from outside the LAN with tailscale serve --bg --https=8800 http://127.0.0.1:8800 and use the tailnet URL.
This server is one of the doors on Marrow's Export tab, and you do not need it to give agents access:
http:// :21212/mcp, answering while the app is running. Seven of the raw reads above, zero extra hardware.All four are in the free tier. Setup for all of them: https://marrowhealthapp.com/guides.
Marrow Connect is the hosted Pro path: Marrow runs the mirror, and ChatGPT, Claude or Gemini read it with the phone asleep and nothing to run. It is the only door that can log for you, once you turn on Allow AI write in the app. https://marrowhealthapp.com/connect
tailscale serve, Caddy, or an equivalent so the transport is HTTPS and the device is authenticated before the bearer token is ever presented.--data: .app-token for the phone's pushes and .mcp-token for agents. Rotating one does not disturb the other.Marrow is on the App Store, iOS 17+, and requires Apple Health. Get it on the App Store.
The iOS app is closed source. This server is not, because you should be able to read anything you are asked to run on your own hardware.
Listed in the official MCP registry as tech.skeletonarmy/marrow, verified by DNS on skeletonarmy.tech.
mcp-name: tech.skeletonarmy/marrow
MIT. See LICENSE.