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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Marrow

de skeletonarmytechversión 0.4.1i★ –iSe ejecuta en tu computadora
Nombre en el registrotech.skeletonarmy/marrow

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: Streamable HTTP
  • Categoría: Clínicas y salud

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "marrow": {
      "command": "uvx",
      "args": [
        "marrow-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add marrow -- uvx marrow-mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "marrow": {
      "command": "uvx",
      "args": [
        "marrow-mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "marrow": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "marrow-mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio skeletonarmy.tech (el registro comprueba quién es dueño del dominio)

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Clínicas y saludi

  • Más estrellas que el 0% de los otros 858 servidores de esta categoría
  • Publicado en el registro más recientemente que el 65% de los otros 858 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 858 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Marrow?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.4.1) llegó al registro hace 15 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Mirobody, FHIR MCP Server, Google Health MCP

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Mirobody

de thetahealth

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

Se ejecuta en tu computadora★ 1408Apache-2.0Actualizado hace 5 días
Instalar

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

Se ejecuta en tu computadora★ 137Apache-2.0Actualizado hace 8 días
Instalar

Google Health MCP

de davidmosiah

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

Se ejecuta en tu computadora★ 79MITActualizado hace 4 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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 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://...).

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:

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:// :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

  • 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.

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