Polarmcp

io.github.davidmosiah由 GitHub 帳號 davidmosiah 發布v0.3.6更新於 Oct 24, 2026

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

已驗證STDIO僅桌面位置與生活資料與分析

概覽

AI 產生的概覽

本機 MCP 伺服器,讓 AI 助理連接使用者自己的 Polar AccessLink 帳戶,讀取睡眠、恢復、心率與訓練資料。

可以做什麼
檢查本機設定、授權範圍與就緒狀態,完成引導與 OAuth 授權,並可撤銷存取、稽核隱私設定與快取狀態。讀取結合睡眠、活動、Nightly Recharge 與訓練負荷的每日與每週摘要,以及共用的 wellness context 結構。列出活動、行事曆、睡眠與睡眠/清醒向量、Nightly Recharge、連續心率取樣、PPI 間隔、溫度測量與皮膚接觸時段。列出訓練工作階段、訓練目標與收藏、測試、運動類型、運動設定與裝置,並取得預設隱去 GPS 的路線。讀取與更新僅儲存使用者輸入內容的本機健康檔案。
適用情境
當你使用 Polar 裝置訓練,並希望助理在不手動抄錄 Polar Flow 數字的情況下分析恢復、訓練負荷與睡眠時使用。適合桌面 MCP 用戶端上的每日檢查、每週回顧與訓練負荷調查。
執行需求
需要 Node.js 20 以上版本,並透過 npx 作為本機程序執行。需要一個重新導向 URI 為 的 Polar AccessLink 用戶端,以及 POLAR_CLIENT_ID 和 POLAR_CLIENT_SECRET,setup 指令可將其存入本機設定檔。需在瀏覽器完成一次 OAuth 授權,權杖保存在本機檔案。需要連線至 Polar 的網路。
安裝前請注意
它涉及 OAuth 用戶端憑證與存取權杖,請妥善保護設定與權杖檔案,不要分享。它會讀取你 Polar 帳戶中的個人健康資料;raw 模式會暴露完整上游酬載,包括平時被隱去的 GPS 座標。此專案為非官方專案,與 Polar 無關聯,且不構成醫療建議。除本機檔案與權杖檔案外,對 Polar 資料為唯讀。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Polarmcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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.

來源:README.md,提交 d04b4f8

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.3.6最新Sep 16, 2026

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