Polarmcp

io.github.davidmosiah由 GitHub 账号 davidmosiah 发布v0.3.6更新于 Oct 24, 2026

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

已验证STDIO仅桌面位置与生活数据与分析

概览

AI 生成的概览

本地 MCP 服务器,让 AI 助手连接用户自己的 Polar AccessLink 账户,读取睡眠、恢复、心率与训练数据。

可以做什么
检查本地配置、授权范围与就绪状态,完成引导和 OAuth 授权,并可撤销访问、审计隐私设置与缓存状态。读取结合睡眠、活动、Nightly Recharge 与训练负荷的每日和每周摘要,以及共享的 wellness context 结构。列出活动、日历、睡眠与睡眠/清醒向量、Nightly Recharge、连续心率采样、PPI 间期、温度测量和皮肤接触时段。列出训练会话、训练目标及收藏、测试、运动类型、运动配置和设备,并获取默认隐去 GPS 的路线。读取和更新仅保存用户输入内容的本地健康档案。
适用场景
当你使用 Polar 设备训练,并希望助手在不手动抄录 Polar Flow 数字的情况下分析恢复、训练负荷和睡眠时使用。适合桌面 MCP 客户端上的每日检查、每周回顾和训练负荷调查。
运行要求
需要 Node.js 20 或更高版本,并通过 npx 作为本地进程运行。需要一个重定向 URI 为 的 Polar AccessLink 客户端,以及 POLAR_CLIENT_ID 和 POLAR_CLIENT_SECRET,setup 命令可将其存入本地配置文件。需在浏览器中完成一次 OAuth 授权,令牌保存在本地文件。需要访问 Polar 的网络连接。
安装前请注意
它涉及 OAuth 客户端凭据和访问令牌,请妥善保护配置与令牌文件,不要分享。它会读取你 Polar 账户中的个人健康数据;raw 模式会暴露完整上游载荷,包括平时被隐去的 GPS 坐标。该项目为非官方项目,与 Polar 无关联,且不构成医疗建议。除本地档案和令牌文件外,对 Polar 数据为只读。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Polarmcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 d04b4f8

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.3.6最新Sep 16, 2026

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