Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Descripción del creador (original en inglés)
Privacy-first unofficial Polar AccessLink v4 MCP server for AI health, sleep and training agents.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
POLAR_CLIENT_ID, POLAR_CLIENT_SECRET, POLAR_REDIRECT_URI, POLAR_TOKEN_PATH, POLAR_PRIVACY_MODE, POLAR_CACHE, POLAR_CACHE_PATH, POLAR_NO_CACHELos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿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": {
"polarmcp": {
"command": "npx",
"args": [
"-y",
"polar-mcp-unofficial"
],
"env": {
"POLAR_CLIENT_ID": "your-value",
"POLAR_CLIENT_SECRET": "your-value",
"POLAR_REDIRECT_URI": "your-value",
"POLAR_TOKEN_PATH": "your-value",
"POLAR_PRIVACY_MODE": "your-value",
"POLAR_CACHE": "your-value",
"POLAR_CACHE_PATH": "your-value",
"POLAR_NO_CACHE": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add polarmcp --env POLAR_CLIENT_ID=your-value --env POLAR_CLIENT_SECRET=your-value --env POLAR_REDIRECT_URI=your-value --env POLAR_TOKEN_PATH=your-value --env POLAR_PRIVACY_MODE=your-value --env POLAR_CACHE=your-value --env POLAR_CACHE_PATH=your-value --env POLAR_NO_CACHE=your-value -- npx -y polar-mcp-unofficialCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"polarmcp": {
"command": "npx",
"args": [
"-y",
"polar-mcp-unofficial"
],
"env": {
"POLAR_CLIENT_ID": "your-value",
"POLAR_CLIENT_SECRET": "your-value",
"POLAR_REDIRECT_URI": "your-value",
"POLAR_TOKEN_PATH": "your-value",
"POLAR_PRIVACY_MODE": "your-value",
"POLAR_CACHE": "your-value",
"POLAR_CACHE_PATH": "your-value",
"POLAR_NO_CACHE": "your-value"
}
}
}
}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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"polarmcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"polar-mcp-unofficial"
],
"env": {
"POLAR_CLIENT_ID": "your-value",
"POLAR_CLIENT_SECRET": "your-value",
"POLAR_REDIRECT_URI": "your-value",
"POLAR_TOKEN_PATH": "your-value",
"POLAR_PRIVACY_MODE": "your-value",
"POLAR_CACHE": "your-value",
"POLAR_CACHE_PATH": "your-value",
"POLAR_NO_CACHE": "your-value"
}
}
}
}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.
POLAR_CLIENT_ID envPOLAR_REDIRECT_URI envPOLAR_TOKEN_PATH envPOLAR_PRIVACY_MODE envPOLAR_CACHE envPOLAR_CACHE_PATH envPOLAR_NO_CACHE envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub davidmosiah, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
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.
Debes completar: POLAR_CLIENT_SECRET
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).
El repo de GitHub cambió por última vez –, y la última versión (0.3.6) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Mirobody, FHIR MCP Server, Langcare MCP FHIR
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
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
An MCP FHIR server written in Go for EMR systems like Epic and Cerner
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.
Upgrading to 0.6.0: read the migration guide for local-only HTTP, disabled authenticated-response caching, and stricter input/profile limits.
Polar MCP
Give your AI agent your Polar Nightly Recharge, training load, PPI and HRV data — locally.
Local-first MCP server — tokens never leave your machine .
⚡ One-command install with Delx Wellness for Hermes:
npx -y delx-wellness-hermes setup— preconfigures this connector and the other 8 in a dedicated Hermes profile.
Or wire it standalone into Claude Desktop / Cursor / ChatGPT Desktop — see the install section below.
Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:
npx -y polar-mcp-unofficial --http
Env: POLAR_MCP_HOST, POLAR_MCP_PORT, POLAR_MCP_TRANSPORT=http.
Local-first MCP server that connects AI agents to your Polar training, sleep, Nightly Recharge and continuous-sample data.
Unofficial project. Not affiliated with, endorsed by or supported by Polar Electro Oy. Polar is a trademark of its respective owner. Use this only with your own Polar account and in line with the Polar AccessLink API terms.
Built by David Mosiah for people who use Claude, Cursor, Hermes, OpenClaw or other MCP-compatible agents to think about training load, recovery and endurance - without copy-pasting numbers from Polar Flow.
Part of Delx Wellness, a registry of local-first wellness MCP connectors.
If this connector helps your agent workflow, please star the repo. Stars make the project easier for other AI builders to discover and help Delx keep shipping local-first wellness infrastructure.
Polar has one of the deepest training-physiology stacks among consumer wearables - Nightly Recharge, continuous samples, PPI (pulse-to-pulse intervals), training targets, sport profiles, orthostatic and fitness tests. The Polar AccessLink Dynamic API v4 exposes this data, but with 16 fine-grained OAuth scopes and a structure that's harder to navigate than typical consumer APIs.
This package handles the OAuth dance locally, normalizes responses across the v4 endpoints, redacts GPS by default, and exposes Polar through the Model Context Protocol. Tokens never leave your machine.
You'll need a Polar AccessLink client (create one here) with redirect URI http://127.0.0.1:3000/callback.
npx -y polar-mcp-unofficial setup # interactive: paste client id + secret
npx -y polar-mcp-unofficial auth # opens browser, captures the OAuth code npx -y polar-mcp-unofficial doctor # verifies you're ready
Recommended scopes (request the ones matching the data you want):
activity:read calendar:read continuous_samples:read devices:read
nightly_recharge:read ppi_data:read profile:read routes:read skin_contact:read sleep:read sports:read temperature_measurement:read tests:read training_sessions:read training_targets:read user_subscription:read
Then add this to your MCP client config:
{
"mcpServers": { "polar": { "command": "npx", "args": ["-y", "polar-mcp-unofficial"] } } }
For Claude Desktop, run setup --client claude and the snippet is written for you.
Three things to ask first:
Use polar_connection_status to check setup, then run polar_daily_summary.
Give me a 5-line training brief for today.
Call polar_weekly_summary with response_format=json. Identify my biggest
training-load/recovery bottleneck and give me a next-week plan.
Use the polar_training_load_investigation prompt, after=2026-04-01.
Walk me through my recent training sessions + Nightly Recharge.
This package uses the official Polar AccessLink Dynamic API v4. When this README says raw, it means the upstream Polar JSON for a supported endpoint - not raw device sensor streams.
| Data | Available | Notes |
|---|---|---|
| Daily activity + calendar | yes | Requires activity:read / calendar:read |
| Sleep + sleep/wake vectors | yes | Requires sleep:read |
| Nightly Recharge (recovery score) | yes | Requires nightly_recharge:read; supported devices |
| Training sessions + training targets | yes | Requires training_sessions:read / training_targets:read |
| Continuous samples (HR over time) | yes | Requires continuous_samples:read |
| PPI samples (pulse-to-pulse intervals, HRV-relevant) | yes | Requires ppi_data:read; supported devices |
| Temperature measurements | yes | Requires temperature_measurement:read; supported devices |
| Skin contact periods | yes | Requires skin_contact:read |
| Tests (fitness / orthostatic / running) | yes | Requires tests:read |
| Routes + GPS geometry | opt-in | GPS coordinates redacted unless raw mode |
| Sports + sport profiles + devices | yes | Catalog and user metadata |
| Live device telemetry | - | Not exposed by Polar AccessLink |
Start with these:
polar_quickstart - personalized 3-step setup walkthrough that adapts to what's already configuredpolar_connection_status - verify local setup, scopes and readiness before calling Polarpolar_data_inventory — inventory supported data domains, scopes, privacy modes and recommended first calls without calling Polar APIs.polar_demo - synthetic example payloads so agents see the contract before calling the real APIpolar_daily_summary - sleep, activity, Nightly Recharge and training brief for todaypolar_weekly_summary - scorecard, comparison vs prior week, next-week planpolar_wellness_context - Nightly Recharge, sleep and training load in the shared wellness_context shapeAuth & diagnostics
polar_capabilities, polar_agent_manifest, polar_privacy_audit, polar_cache_statuspolar_get_auth_url, polar_exchange_code, polar_revoke_accessAccount
polar_get_account_data, polar_list_user_devices, polar_list_subscriptionsShared wellness profile (local, never Polar data)
polar_onboarding, polar_profile_get, polar_profile_update — the Delx Wellness profile shared with the other connectors; stores only what the user typed, never tokens or biomarkersActivity & sleep
polar_list_activity, polar_list_calendarpolar_list_sleeps, polar_list_sleep_wake_vectors — sleep lists hydrate available dates with the v4 sleep-result, sleep-evaluation, and sleep-score features by defaultpolar_list_nightly_rechargeHeart & physiology (date range)
polar_heart_series — agent-safe-series/v1 bounded HR from continuous samples (prefer this for agents)polar_list_continuous_samples, polar_list_ppi_samplespolar_list_temperature_measurements, polar_list_skin_contactsTraining
polar_list_training_sessions, polar_list_training_targets, polar_list_training_target_favoritespolar_list_testsSports & routes
polar_list_sports, polar_list_sport_profile_catalog, polar_list_sport_profilespolar_get_route - GPS coordinates redacted unless raw modepolar_daily_checkin - practical daily training and recovery check-inpolar_weekly_review - review trends across activity, sleep and recoverypolar_training_load_investigation - investigate training sessions + recovery contextpolar://capabilities, polar://agent-manifest, polar://inventorypolar://summary/daily, polar://summary/weeklypolar://account-data, polar://latest/sleep~/.polar-mcp/tokens.json with 0600 permissions and are never returned by tools.POLAR_PRIVACY_MODE defaults to structured. Structured mode preserves the complete upstream physiological payload while removing secret/GPS fields; normalized aliases are additive and never replace nested v4 objects. Raw Polar JSON is opt-in via raw mode or per-call override.summary and structured modes - only raw mode exposes raw coordinates.features are validated per endpoint. Feature queries that Polar limits to one day are hydrated one available date at a time.setup writes most of these into ~/.polar-mcp/config.json (0600). Manual env override is supported:
POLAR_CLIENT_ID=<client-id>
POLAR_CLIENT_SECRET= POLAR_REDIRECT_URI=http://127.0.0.1:3000/callback
POLAR_SCOPES="activity:read calendar:read continuous_samples:read ..." POLAR_PRIVACY_MODE=structured # summary | structured | raw POLAR_CACHE=sqlite # no effect: authenticated responses are never cached POLAR_TOKEN_PATH=~/.polar-mcp/tokens.json POLAR_CACHE_PATH=~/.polar-mcp/cache.sqlite
npx -y polar-mcp-unofficial setup --client hermes --no-auth
npx -y polar-mcp-unofficial auth # run locally if browser auth is needed npx -y polar-mcp-unofficial doctor --client hermes hermes mcp test polar
After Hermes config changes, use /reload-mcp or hermes mcp test polar. Don't restart the gateway for normal data access.
If browser OAuth has to happen on a different machine than Hermes, run auth locally and copy ~/.polar-mcp/tokens.json to the server with chmod 600.
http://127.0.0.1:3000/callbackgit clone https://github.com/davidmosiSolo se muestra el principio; lee el resto en el repo