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PopNx MCPMCP servers for people who use AI · explained in plain words

Polar Health Data (self-hosted)

by StuMasonversion 1.6.2i★ –iRuns on your computer
Registry nameio.github.StuMason/polar-flow-server

Install

Overview

Description from the maker (original English)

Self-hosted Polar health analytics with a built-in MCP server: sleep, HRV, workouts, baselines.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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
  • You need to fill in: DATABASE_URL, POLAR_CLIENT_ID, POLAR_CLIENT_SECRET

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).
  • You fill in yourself: DATABASE_URL, POLAR_CLIENT_ID, POLAR_CLIENT_SECRET, BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

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": {
    "polar-flow": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "-e",
        "POLAR_CLIENT_ID",
        "-e",
        "POLAR_CLIENT_SECRET",
        "-e",
        "BASE_URL",
        "docker.io/stumason/polar-flow-server:1.6.2"
      ],
      "env": {
        "DATABASE_URL": "your-value",
        "POLAR_CLIENT_ID": "your-value",
        "POLAR_CLIENT_SECRET": "your-value",
        "BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add polar-flow --env DATABASE_URL=your-value --env POLAR_CLIENT_ID=your-value --env POLAR_CLIENT_SECRET=your-value --env BASE_URL=your-value -- docker run -i --rm -e DATABASE_URL -e POLAR_CLIENT_ID -e POLAR_CLIENT_SECRET -e BASE_URL docker.io/stumason/polar-flow-server:1.6.2

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "polar-flow": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "-e",
        "POLAR_CLIENT_ID",
        "-e",
        "POLAR_CLIENT_SECRET",
        "-e",
        "BASE_URL",
        "docker.io/stumason/polar-flow-server:1.6.2"
      ],
      "env": {
        "DATABASE_URL": "your-value",
        "POLAR_CLIENT_ID": "your-value",
        "POLAR_CLIENT_SECRET": "your-value",
        "BASE_URL": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "polar-flow": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "-e",
        "POLAR_CLIENT_ID",
        "-e",
        "POLAR_CLIENT_SECRET",
        "-e",
        "BASE_URL",
        "docker.io/stumason/polar-flow-server:1.6.2"
      ],
      "env": {
        "DATABASE_URL": "your-value",
        "POLAR_CLIENT_ID": "your-value",
        "POLAR_CLIENT_SECRET": "your-value",
        "BASE_URL": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • DATABASE_URL secret required env
    PostgreSQL connection string, e.g. postgresql+asyncpg://user:pass@host:5432/polar
  • POLAR_CLIENT_ID required env
    Polar AccessLink OAuth client id (register at admin.polaraccesslink.com)
  • POLAR_CLIENT_SECRET secret required env
    Polar AccessLink OAuth client secret
  • BASE_URL env
    Public HTTPS base URL of this deployment; enables OAuth sign-in for MCP connectors

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account StuMason, which owns the repo

  • … 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 1022 servers in this category
  • Published to the registry more recently than 59% of the other 1022 servers in this category
  • Basic checks equal to or better than 100% of the other 1022 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 Polar Health Data (self-hosted) 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?

You need to fill in: DATABASE_URL, POLAR_CLIENT_ID, POLAR_CLIENT_SECRET

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 (1.6.2) reached the registry 19 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker 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

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 today
Install

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

Runs on your computer★ 137Apache-2.0Updated 9 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.

polar-flow-server

Self-hosted health analytics for Polar devices — own your data, analyze it against your own baselines, and let your AI assistant read it.

[Full Documentation](https://stumason.github.io/polar-flow-server/) · MCP Server · Integration Guide · API Reference

What This Does

Your watch knows more about you than you do — and Polar's API only lets you see the last 28-30 days of it. This server syncs everything, keeps it forever, and turns it into answers:

  1. Syncs all 13 Polar API endpoints automatically — sleep, HRV, activity, workouts, SpO2, ECG, skin temperature, the lot
  2. Stores everything in PostgreSQL. Your data, your server, no cloud between you and it
  3. Computes personal baselines (rolling averages, IQR anomaly bounds) so "is this normal?" means normal *for you*
  4. Ships a built-in MCP server with OAuth sign-in — ask Claude "should I train hard today?" and it answers from your overnight HRV vs your baseline
  5. Admin dashboard (HTMX), REST API, per-user API keys, multi-user ready

Ask Your AI About Your Body (MCP)

A built-in Model Context Protocol server — protocol revision 2026-07-28, streamable HTTP — runs inside the main server at /mcp. Ten curated tools cover the one-shot health assessment, sleep, recovery, activity, workouts, seven biosensing streams, personal baselines, patterns/anomalies, and sync control.

In clients that render MCP Apps (claude.ai, Claude Desktop, VS Code), asking "how am I doing?" draws an actual card in the conversation:

Connecting is a sign-in, not a paste. With BASE_URL set, the server is its own OAuth 2.1 authorization server: add https://your-server/mcp as a custom connector in Claude Desktop or claude.ai, click Connect, log in on *your* server, approve the consent screen. Tokens are user-scoped, expire hourly, refresh automatically, and every connected app is revocable from Settings. API keys still work for headless clients:

claude mcp add polar-health https://your-server.example.com/mcp \

--transport http \ --header "X-API-Key: pfk_your_key_here"

Full setup in the MCP docs.

Architecture

Polar API → polar-flow SDK → Sync Service → PostgreSQL

↓ Admin Dashboard (HTMX) ↓ REST API

Stack:

  • Litestar (async web framework)
  • SQLAlchemy 2.0 (async ORM)
  • PostgreSQL
  • HTMX + Tailwind (admin UI)
  • polar-flow SDK v1.5.0

Don't fancy running a server? A hosted version is in the works — join the waitlist. Self-hosting stays free forever.

Quick Start

Option 1: Docker (Recommended)
# Pull and run

curl -O https://raw.githubusercontent.com/StuMason/polar-flow-server/main/docker-compose.prod.yml docker-compose -f docker-compose.prod.yml up -d

That's it. Open http://localhost:8000/admin

Option 2: From Source
git clone https://github.com/StuMason/polar-flow-server.git

cd polar-flow-server docker-compose up -d

Setup
  1. Open http://localhost:8000/admin
  2. Get Polar credentials from admin.polaraccesslink.com (set redirect URI to http://localhost:8000/admin/oauth/callback)
  3. Enter credentials and click "Connect with Polar"
  4. Hit "Sync Now" to pull your data

The server syncs data every hour automatically.

Dashboard

The admin panel at /admin/dashboard is organised into tabs (with a floating tab bar on mobile):

  • Overview - stat tiles (HRV, resting HR, SpO2, skin temp, steps, strain, sleep score, alertness...), Today's Readiness recommendations, and "Today at a Glance" mini-charts (sleep stages, heart rate, steps)
  • Trends & Baselines - personal baselines and detected patterns
  • Sleep - sleep score and stage-duration charts
  • Heart Rate - daily HR, HRV and ANS charge charts, biosensing panel
  • Training Load - activity and cardio load charts

Charts have a selectable 7/14/30-day range and CSV export. API keys are managed from the settings page, with rate limit tracking. All frontend assets are vendored - the dashboard works offline and on a LAN with no CDNs.

Data Synced (13 Endpoints)

EndpointData
SleepScore, stages (light/deep/REM), duration
Nightly RechargeHRV, ANS charge, recovery status
Daily ActivitySteps, distance, calories, active time
ExercisesSport, duration, HR zones, training load
Cardio LoadStrain, tolerance, load ratio, status
SleepWise AlertnessHourly alertness predictions
SleepWise BedtimeOptimal sleep timing recommendations
Activity SamplesMinute-by-minute step data
Continuous HRAll-day heart rate (5-min intervals)
SpO2Blood oxygen tests (compatible devices)
ECGElectrocardiogram tests (compatible devices)
Body TemperatureContinuous body temperature
Skin TemperatureNightly skin temperature with baseline deviation

Configuration

Required Environment Variables
VariableDescriptionRequired
DATABASE_URLPostgreSQL connection stringYes
ENCRYPTION_KEY32-byte Fernet key for token encryptionYes (production)

Generate an encryption key:

python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
Optional Environment Variables
VariableDescriptionDefault
DEPLOYMENT_MODEself_hosted or saasself_hosted
SYNC_INTERVAL_HOURSAuto-sync frequency1
SYNC_ON_STARTUPSync when server startsfalse
SYNC_DAYS_LOOKBACKDays of history to sync28
LOG_LEVELLogging verbosityINFO
API_KEYMaster API key (bypasses rate limits)None

API Authentication

API endpoints require authentication. Health data should never be publicly accessible.

Authentication Methods
  1. Per-User API Keys (recommended) - Create from the admin dashboard or via OAuth flow
  2. Master API Key - Set API_KEY env var for full access (bypasses rate limits)
Using API Keys
# With per-user API key (includes rate limit headers)

curl -H "X-API-Key: pfk_your_api_key_here" \ http://localhost:8000/api/v1/users/{user_id}/sleep?days=7

Response headers include:

X-RateLimit-Limit: 1000

X-RateLimit-Remaining: 999

X-RateLimit-Reset: 1704067200

Rate Limiting
  • Default: 1000 requests per hour per API key
  • Rate limits reset hourly
  • Master API key (API_KEY env var) bypasses rate limiting
  • Rate limit info returned in response headers

OAuth Integration (SaaS / Multi-User)

For applications that need to integrate with polar-flow-server (e.g., Laravel, mobile apps, web frontends).

This allows any Polar user to connect their account to your application.

OAuth Flow
┌─────────────────┐     ┌─────────────────────┐     ┌─────────────────┐

│ Your App │────▶│ polar-flow-server │────▶│ Polar Flow │ │ (Laravel etc) │ │ │ │ (OAuth) │ │ │◀────│ │◀────│ │ └─────────────────┘ └─────────────────────┘ └─────────────────┘

Step 1: Redirect user to start OAuth

GET /oauth/start?callback_url=https://yourapp.com/callback&client_id=your-app-name
ParameterRequiredDescription
callback_urlYesWhere to redirect after OAuth (your app's callback endpoint)
client_idNoIdentifier for your app (validated during exchange)

Step 2: User authorizes on Polar

User is redirected to Polar, logs in with their credentials, and authorizes your app.

Step 3: User redirected to your callback

https://yourapp.com/callback?code=TEMP_CODE_HERE

Step 4: Exchange temp code for API key (server-to-server)

POST /oauth/exchange

Content-Type: application/json

{ "code": "TEMP_CODE_HERE", "client_id": "your-app-name" }

Response:

{

"api_key": "pfk_abc123...", "polar_user_id": "12345678", "expires_at": null }

Step 5: Store and use the API key

Store api_key and polar_user_id for this user. Use the API key for all data requests:

curl -H "X-API-Key: pfk_abc123..." \

"https://your-polar-server.com/api/v1/users/12345678/sleep?days=7"

Polar Admin Setup

In admin.polaraccesslink.com, set your app's redirect URI to:

https://your-polar-server.com/oauth/callback
Key Management
# Get key info

GET /api/v1/users/{user_id}/api-key/info X-API-Key: pfk_...

Regenerate key (invalidates old key)

POST /api/v1/users/{user_id}/api-key/regenerate X-API-Key: pfk_...

Revoke key

POST /api/v1/users/{user_id}/api-key/revoke X-API-Key: pfk_...

API Endpoints

# Health check (no auth required)

curl http://localhost:8000/health

Get sleep data (last 7 days)

curl -H "X-API-Key: pfk_..." \ "http://localhost:8000/api/v1/users/{user_id}/sleep?days=7"

Get activity data

curl -H "X-API-Key: pfk_..." \ "http://localhost:8000/api/v1/users/{user_id}/activity?days=7"

Get nightly recharge (HRV)

curl -H "X-API-Key: pfk_..." \ "http://localhost:8000/api/v1/users/{user_id}/recharge?days=7"

Get exercises

curl -H "X-API-Key: pfk_..." \ "http://localhost:8000/api/v1/users/{user_id}/exercises?days=30"

Export summary

curl -H "X-API-Key: pfk_..." \ "http://localhost:8000/api/v1/users/{user_id}/export/summary?days=30"

Development

# Install dependencies

uv sync --all-extras

Start PostgreSQL

docker-compose up -d postgres

Run server with hot reload

uv run uvicorn polar_flow_server.app:app --reload

Run tests

uv run pytest

Type check

uv run mypy src/polar_flow_server

Lint

uv run ruff check src/

Production Deployment

Deploy anywhere that runs Docker:

# Download and run

curl -O https://raw.githubusercontent.com/StuMason/polar-flow-server/main/docker-compose.prod.yml docker-compose -f docker-compose.prod.yml up -d

Coolify, Railway, Render, etc. - Point at the GitHub repo, it builds from the Dockerfile.

Required for production:

  • Set ENCRYPTION_KEY environment variable (tokens won't persist across restarts otherwise)
  • Set DATABASE_URL to your PostgreSQL instance

Database migrations run automatically on startup.

Multi-Tenancy

The server supports multiple users out of the box:

  • Every table includes user_id column
  • All queries scoped by user_id
  • Per-user API keys ensure users can only access their own data
  • Self-hosted: typ

Only the beginning is shown; read the rest in the repo

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