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
Marrow
Overview
Description from the maker (original English)
Marrow Health: your Apple Health data over MCP, from the free iOS app. Reads, and writes on demand.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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: Streamable HTTP
- 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
- PyPIPython’s uv installed (for the uvx 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": {
"marrow": {
"command": "uvx",
"args": [
"marrow-mcp"
]
}
}
}Run this in your terminal
claude mcp add marrow -- uvx marrow-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"marrow": {
"command": "uvx",
"args": [
"marrow-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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"marrow": {
"type": "stdio",
"command": "uvx",
"args": [
"marrow-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 against the domain skeletonarmy.tech (the registry checks domain ownership)
- … 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 860 servers in this category
- Published to the registry more recently than 65% of the other 860 servers in this category
- Basic checks equal to or better than 100% of the other 860 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 Marrow 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 (0.4.1) reached the registry 15 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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
FHIR MCP Server
by wso2
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.
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.
Run it
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
python3 marrow_server.py # prints a pairing URLpython3 marrow_server.py --port 8800 --data ./data
or with Docker
docker compose up -dOpen 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
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"}'
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:
| 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.
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-mcpthen/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 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.
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:
- Local MCP. Marrow runs an MCP server on the iPhone itself at
http:// :21212/mcp, answering while the app is running. Seven of the raw reads above, zero extra hardware. - Server MCP. This package: an always-on mirror on your own box.
- Automated. Scheduled pushes to any URL (Home Assistant, n8n, your own endpoint).
- 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-tokenfor the phone's pushes and.mcp-tokenfor 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
- Agent setup guide, the full client-by-client walkthrough
- Support and troubleshooting, or email
- Privacy policy. Short version: your health data stays on your device, this server runs on hardware you own, and nothing here reports to us.
- Terms of use
Licence
MIT. See LICENSE.