Marrow

tech.skeletonarmy由 skeletonarmy.tech 发布v0.4.1更新于 Oct 30, 2026

Marrow Health: your Apple Health data over MCP, from the free iOS app. Reads, and writes on demand.

发布方自己的服务:Marrow

概览

AI 生成的概览

自托管的配套服务器,把免费 Marrow iOS 应用中的 Apple 健康数据镜像到本地 SQLite,并通过 MCP 提供给 AI 助手查询。

可以做什么
  • 读取每日简报、个人基线、变化对比和数据质量报告,均以你自己的近期常态为基准评分
  • 读取原始健康数据:汇总、指标列表、每日数值、原始记录、锻炼、睡眠、饮食日记、力量训练记录、症状与情绪
  • 使用四个内置提示词(近况如何、每周回顾、就诊准备、从文本记录)和四个资源(今日、指标、目标、质量)
  • 按回溯天数或日期区间查询任意指标,原始记录支持分页
适用场景
适合希望在自己机器上运行的助手全天候回答 Apple 健康历史问题、即使手机放在口袋里也能查询,并且希望健康数据留在自有硬件而非厂商云端的场景。
运行要求
自有机器上的本地 Python 运行环境(pip 安装 marrow-mcp,或直接运行单个脚本,或用 Docker);iOS 17+ 上安装免费 Marrow 应用并启用 Apple 健康;通过应用扫描二维码或配对链接完成配对;首次运行生成的 bearer 令牌,需放在 Authorization 请求头中;手机需通过私有或 tailnet 地址访问服务器,公网地址则需 HTTPS。
安装前请注意
服务器保存完整的健康数据镜像,数据目录中还有两个令牌(.app-token 供手机推送、.mcp-token 供助手),需妥善保护该目录,泄露时轮换令牌。它面向局域网或 tailnet,不要把端口转发到公网。自托管配对只暴露只读工具,但托管版 Marrow Connect 路径存在写入工具,请确认客户端实际列出的工具。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Marrow,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[Marrow Health]

Marrow Health MCP server (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.

[An agent querying Marrow over MCP: sleep and workout data answered from the phone]

Run it

sh
pip install "marrow-mcp[qr]"                  # [qr] adds segno, which draws the pairing QRmarrow-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

sh
python3 marrow_server.py                      # prints a pairing URLpython3 marrow_server.py --port 8800 --data ./data

or with Docker

sh
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://...).

Upgrading to 0.3.0

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.

Connect an agent

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

sh
claude mcp add --transport http marrow \  http://<server-ip>:8800/mcp \  --header "Authorization: Bearer <mcp token>"

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

json
{  "mcpServers": {    "marrow": {      "type": "http",      "url": "http://<server-ip>:8800/mcp",      "headers": { "Authorization": "Bearer <mcp token>" }    }  }}

Check it by hand

sh
curl -s http://<server-ip>:8800/mcp \  -H "Authorization: Bearer <mcp token>" \  -H "Content-Type: application/json" \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

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:

ToolReturns
daily_briefOne 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
baselinesYour 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_changedThe 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_qualityWhat 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:

ToolReturns
health_summaryRecent days across activity, heart, sleep and nutrition
list_metricsEvery metric in the mirror, with units and coverage
metric_dailyDaily values for any metric, up to 400 days
metric_samplesRaw records with timestamps and source devices
workoutsWorkouts from every source: activity, start, end, duration and source
nutrition_logThe meal diary: every logged food with full nutrient detail, by day
strength_logEvery lifting set with its set type and estimated 1RM, per-exercise progression, and volume per muscle group (warm-ups left out)
sleep_logOne night per wake day: bedtime, wake time, hours asleep, minutes per stage
symptoms_and_moodSymptoms 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.

Kits, recipes and the Claude Code plugin

  • kits/: copy-and-paste setup for Claude Code, Claude Desktop, Cursor, OpenClaw and Hermes Agent.
  • recipes/: receivers for Marrow's Automations (the app POSTs your data to any URL on a schedule, with the app closed): Home Assistant, n8n, Google Sheets through Apps Script, InfluxDB.
  • Built with Marrow: complete projects people run on these connections, starting with Body Ops, a Grafana dashboard for every kind of data Marrow sends. Submit yours there.
  • The Claude Code plugin: /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.

Why not the built-in Claude or ChatGPT connector?

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 connectorMarrow + this server
Where it worksThe iOS app onlyClaude Code, Claude Desktop, Cursor, OpenClaw, Hermes, any MCP client, on any machine
When it worksWhile you are in the chat on the phone24/7, phone in your pocket, from your own box
What the model seesRaw HealthKit numbersDaily values reconciled against Apple's own totals, meal diary, set-by-set lifts
Where the data livesTheir cloud, per conversationSQLite on hardware you own
CostSubscriptionFree, 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.

The other ways in

This server is one of the doors on Marrow's Export tab, and you do not need it to give agents access:

  1. Local MCP. Marrow runs an MCP server on the iPhone itself at http://<phone-ip>:21212/mcp, answering while the app is running. Seven of the raw reads above, zero extra hardware.
  2. Server MCP. This package: an always-on mirror on your own box.
  3. Automated. Scheduled pushes to any URL (Home Assistant, n8n, your own endpoint).
  4. Manual. CSV, JSON and GPX files out of the share sheet.

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

Security

  • Both servers are built for a LAN or a tailnet. Do not port-forward this to the open internet. If you need it remotely, front it with tailscale serve, Caddy, or an equivalent so the transport is HTTPS and the device is authenticated before the bearer token is ever presented.
  • Two separate tokens live in --data: .app-token for the phone's pushes and .mcp-token for agents. Rotating one does not disturb the other.
  • Ingest is idempotent and UUID-keyed, so a replayed batch cannot double-count.

Status

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.

Registry

Listed in the official MCP registry as tech.skeletonarmy/marrow, verified by DNS on skeletonarmy.tech.

mcp-name: tech.skeletonarmy/marrow

Help and policies

Licence

MIT. See LICENSE.

来源:README.md,提交 7aad60a

工具

0
SourceWeft 曾在隔离沙箱中以无凭据方式启动该软件包一次,以列出其工具,但未能完成:该软件包类型无法在沙箱中运行。

版本历史

6
  1. v0.4.1最新Oct 22, 2026
  2. v0.3.4Oct 19, 2026
  3. v0.3.2Oct 18, 2026
  4. v0.3.0Oct 14, 2026
  5. v0.2.5Oct 6, 2026
  6. v0.2.4Sep 16, 2026

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