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Polarmcp

作者:davidmosiah版本 0.3.6i★ –i在你的电脑上运行
注册名称io.github.davidmosiah/polarmcp

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 诊所与健康
  • 你需要填写:POLAR_CLIENT_SECRET

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: POLAR_CLIENT_ID, POLAR_CLIENT_SECRET, POLAR_REDIRECT_URI, POLAR_TOKEN_PATH, POLAR_PRIVACY_MODE, POLAR_CACHE, POLAR_CACHE_PATH, POLAR_NO_CACHE

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
      }
    }
  }
}

在终端中运行这条命令

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-unofficial

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • POLAR_CLIENT_ID env
    Polar OAuth client ID. Optional when configured with polar-mcp-server setup.
  • POLAR_CLIENT_SECRET 机密 env
    Polar OAuth client secret. Prefer polar-mcp-server setup so this secret is stored in ~/.polar-mcp/config.json instead of MCP client config.
  • POLAR_REDIRECT_URI env
    Redirect URI configured in the Polar AccessLink admin. Optional when configured with polar-mcp-server setup.
  • POLAR_TOKEN_PATH env
    Optional local path for OAuth tokens. Defaults to ~/.polar-mcp/tokens.json.
  • POLAR_PRIVACY_MODE env
    Optional payload mode: summary, structured, or raw. Defaults to structured. raw means full Polar AccessLink payloads for supported endpoints.
  • POLAR_CACHE env
    Optional SQLite cache toggle. Set to true or sqlite to enable.
  • POLAR_CACHE_PATH env
    Optional local SQLite cache path. Defaults to ~/.polar-mcp/cache.sqlite.
  • POLAR_NO_CACHE env
    Set to true to bypass the in-memory HTTP response cache (60s TTL for GET only). POST/PUT/DELETE and 4xx/5xx responses are never cached regardless.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 davidmosiah 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“诊所与健康”中的其他服务器比较i

  • 星标数多于此分类中其他 870 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 870 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 870 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Polarmcp 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:POLAR_CLIENT_SECRET

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.3.6)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Mirobody, FHIR MCP Server, Langcare MCP FHIR

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Mirobody

作者:thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

在你的电脑上运行★ 1,408Apache-2.06天前更新
安装

FHIR MCP Server

作者:wso2

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

在你的电脑上运行★ 137Apache-2.09天前更新
安装

Langcare MCP FHIR

作者:langcare

An MCP FHIR server written in Go for EMR systems like Epic and Cerner

在你的电脑上运行★ 70MIT9个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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.


HTTP (v2 stateless)

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

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.

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.

Try it with your agent

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.

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:

POLAR_CLIENT_ID=<client-id>

POLAR_CLIENT_SECRET= POLAR_REDIRECT_URI=http://127.0.0.1:3000/callback

Optional

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

Hermes / remote setup

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.

Requirements

Development

git clone https://github.com/davidmosi

只显示了开头部分;其余内容请在仓库中阅读

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