Polarmcp

io.github.davidmosiahPublished by GitHub account davidmosiahv0.3.6Updated Oct 24, 2026

Privacy-first unofficial Polar AccessLink v4 MCP server for AI health, sleep and training agents.

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Overview

AI-generated overview

Local MCP server that connects an AI assistant to a user's own Polar AccessLink account for sleep, recovery, heart-rate and training data.

What you can do
Check setup, scopes and readiness, and walk through onboarding and OAuth authorization locally, including revoking access and auditing privacy settings and cache state. Read daily and weekly summaries combining sleep, activity, Nightly Recharge and training load, plus a shared wellness context shape. List activity, calendar, sleep and sleep/wake vectors, Nightly Recharge, continuous heart-rate samples, PPI intervals, temperature measurements and skin-contact periods. List training sessions, training targets and favorites, tests, sports, sport profiles and devices, and fetch routes with GPS redacted by default. Read and update a local wellness profile that stores only what the user typed, and
When to use it
Use it when you train with a Polar device and want an assistant to reason about recovery, training load and sleep without copying numbers out of Polar Flow. It suits daily check-ins, weekly reviews and training-load investigations on a desktop MCP client.
Requirements
Node.js 20 or later and a local process via npx. A Polar AccessLink client with redirect URI plus POLAR_CLIENT_ID and POLAR_CLIENT_SECRET, which the setup command can store in a local config file. OAuth authorization is done once in a browser; tokens are kept in a local file. Network access to Polar is required.
Before you install
It handles OAuth client credentials and access tokens; keep the config and token files private and never share them. It reads personal health data from your Polar account, and raw mode exposes full upstream payloads including GPS coordinates that are otherwise redacted. It is unofficial, not affiliated with Polar, and not medical advice. It is read-only toward Polar data apart from local profile and token files.

Installation

In SourceWeft

  1. Open Polarmcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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.

[npm version] [npm downloads] [License MIT] [Site]

[GitHub stars] [Built for MCP] [Hermes one-command setup] [Polar]

⚡ 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.


HTTP (v2 stateless)

Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:

bash
npx -y polar-mcp-unofficial --http# GET  http://127.0.0.1:3000/health# POST http://127.0.0.1:3000/mcp   (sessionless)

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.

Why this exists

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.

Setup in 60 seconds

You'll need a Polar AccessLink client (create one here) with redirect URI http://127.0.0.1:3000/callback.

bash
npx -y polar-mcp-unofficial setup    # interactive: paste client id + secretnpx -y polar-mcp-unofficial auth     # opens browser, captures the OAuth codenpx -y polar-mcp-unofficial doctor   # verifies you're ready

Recommended scopes (request the ones matching the data you want):

text
activity:read calendar:read continuous_samples:read devices:readnightly_recharge:read ppi_data:read profile:read routes:readskin_contact:read sleep:read sports:read temperature_measurement:readtests:read training_sessions:read training_targets:read user_subscription:read

Then add this to your MCP client config:

json
{  "mcpServers": {    "polar": {      "command": "npx",      "args": ["-y", "polar-mcp-unofficial"]    }  }}

For Claude Desktop, run setup --client claude and the snippet is written for you.

Try it with your agent

Three things to ask first:

text
Use polar_connection_status to check setup, then run polar_daily_summary.Give me a 5-line training brief for today.
text
Call polar_weekly_summary with response_format=json. Identify my biggesttraining-load/recovery bottleneck and give me a next-week plan.
text
Use the polar_training_load_investigation prompt, after=2026-04-01.Walk me through my recent training sessions + Nightly Recharge.

Data availability

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.

DataAvailableNotes
Daily activity + calendaryesRequires activity:read / calendar:read
Sleep + sleep/wake vectorsyesRequires sleep:read
Nightly Recharge (recovery score)yesRequires nightly_recharge:read; supported devices
Training sessions + training targetsyesRequires training_sessions:read / training_targets:read
Continuous samples (HR over time)yesRequires continuous_samples:read
PPI samples (pulse-to-pulse intervals, HRV-relevant)yesRequires ppi_data:read; supported devices
Temperature measurementsyesRequires temperature_measurement:read; supported devices
Skin contact periodsyesRequires skin_contact:read
Tests (fitness / orthostatic / running)yesRequires tests:read
Routes + GPS geometryopt-inGPS coordinates redacted unless raw mode
Sports + sport profiles + devicesyesCatalog and user metadata
Live device telemetry-Not exposed by Polar AccessLink

Tools

Start with these:

  • polar_quickstart - personalized 3-step setup walkthrough that adapts to what's already configured
  • polar_connection_status - verify local setup, scopes and readiness before calling Polar
  • polar_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 API
  • polar_daily_summary - sleep, activity, Nightly Recharge and training brief for today
  • polar_weekly_summary - scorecard, comparison vs prior week, next-week plan
  • polar_wellness_context - Nightly Recharge, sleep and training load in the shared wellness_context shape

Auth & diagnostics

  • polar_capabilities, polar_agent_manifest, polar_privacy_audit, polar_cache_status
  • polar_get_auth_url, polar_exchange_code, polar_revoke_access

Account

  • polar_get_account_data, polar_list_user_devices, polar_list_subscriptions

Shared 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 biomarkers

Activity & sleep

  • polar_list_activity, polar_list_calendar
  • polar_list_sleeps, polar_list_sleep_wake_vectors — sleep lists hydrate available dates with the v4 sleep-result, sleep-evaluation, and sleep-score features by default
  • polar_list_nightly_recharge

Heart & 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_samples
  • polar_list_temperature_measurements, polar_list_skin_contacts

Training

  • polar_list_training_sessions, polar_list_training_targets, polar_list_training_target_favorites
  • polar_list_tests

Sports & routes

  • polar_list_sports, polar_list_sport_profile_catalog, polar_list_sport_profiles
  • polar_get_route - GPS coordinates redacted unless raw mode

Prompts

  • polar_daily_checkin - practical daily training and recovery check-in
  • polar_weekly_review - review trends across activity, sleep and recovery
  • polar_training_load_investigation - investigate training sessions + recovery context

Resources

  • polar://capabilities, polar://agent-manifest, polar://inventory
  • polar://summary/daily, polar://summary/weekly
  • polar://account-data, polar://latest/sleep

Privacy & security

  • OAuth tokens are stored in ~/.polar-mcp/tokens.json with 0600 permissions and are never returned by tools.
  • The server never prints access or refresh tokens.
  • 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.
  • GPS route geometry is redacted in summary and structured modes - only raw mode exposes raw coordinates.
  • Date formats and supported features are validated per endpoint. Feature queries that Polar limits to one day are hydrated one available date at a time.
  • The MCP client never sees access or refresh tokens.
  • This is not medical advice. The server exposes user-authorized data for personal AI workflows, not diagnosis or training prescription.

Configuration

setup writes most of these into ~/.polar-mcp/config.json (0600). Manual env override is supported:

bash
POLAR_CLIENT_ID=<client-id>POLAR_CLIENT_SECRET=<client-secret>POLAR_REDIRECT_URI=http://127.0.0.1:3000/callback
# OptionalPOLAR_SCOPES="activity:read calendar:read continuous_samples:read ..."POLAR_PRIVACY_MODE=structured        # summary | structured | rawPOLAR_CACHE=sqlite                   # no effect: authenticated responses are never cachedPOLAR_TOKEN_PATH=~/.polar-mcp/tokens.jsonPOLAR_CACHE_PATH=~/.polar-mcp/cache.sqlite

Hermes / remote setup

bash
npx -y polar-mcp-unofficial setup --client hermes --no-authnpx -y polar-mcp-unofficial auth                      # run locally if browser auth is needednpx -y polar-mcp-unofficial doctor --client hermeshermes 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.

Requirements

Development

bash
git clone https://github.com/davidmosiah/polar-mcp.gitcd polar-mcpnpm installnpm testnpm run build

Test with MCP Inspector:

bash
npx @modelcontextprotocol/inspector node dist/index.js

Links

See also

The full Delx Wellness connector library:

One-command setup for Hermes — preconfigures every connector above plus wellness skills + onboarding: delx-wellness-hermes.

📧 Contact & Support

License

MIT - see LICENSE.

Disclaimer

This software is provided as-is. It is not a medical device, does not provide medical advice, and should not be used for diagnosis, treatment or training prescription. Always consult qualified professionals for medical or training concerns.

Skill or MCP

Same package, two doors. MCP registers tools on stdio/HTTP. The skill can drive the same tools through the CLI when the client has no MCP:

bash
npx -y polar-mcp-unofficial call polar_connection_status --json '{}'

Copy skill/SKILL.md into your agent skills dir.

Source: README.md at commit d04b4f8

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.3.6LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts