Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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
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。
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。
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。
POLAR_CLIENT_ID envPOLAR_REDIRECT_URI envPOLAR_TOKEN_PATH envPOLAR_PRIVACY_MODE envPOLAR_CACHE envPOLAR_CACHE_PATH envPOLAR_NO_CACHE env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。
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
注册名称已通过 GitHub 账户 davidmosiah 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:POLAR_CLIENT_SECRET
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)。
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。
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。
同一分类中有:Mirobody, FHIR MCP Server, Langcare MCP FHIR
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
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
An MCP FHIR server written in Go for EMR systems like Epic and Cerner
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.
Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:
npx -y polar-mcp-unofficial --http
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.
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.
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.
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.
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.
| Data | Available | Notes |
|---|---|---|
| Daily activity + calendar | yes | Requires activity:read / calendar:read |
| Sleep + sleep/wake vectors | yes | Requires sleep:read |
| Nightly Recharge (recovery score) | yes | Requires nightly_recharge:read; supported devices |
| Training sessions + training targets | yes | Requires training_sessions:read / training_targets:read |
| Continuous samples (HR over time) | yes | Requires continuous_samples:read |
| PPI samples (pulse-to-pulse intervals, HRV-relevant) | yes | Requires ppi_data:read; supported devices |
| Temperature measurements | yes | Requires temperature_measurement:read; supported devices |
| Skin contact periods | yes | Requires skin_contact:read |
| Tests (fitness / orthostatic / running) | yes | Requires tests:read |
| Routes + GPS geometry | opt-in | GPS coordinates redacted unless raw mode |
| Sports + sport profiles + devices | yes | Catalog and user metadata |
| Live device telemetry | - | Not exposed by Polar AccessLink |
Start with these:
polar_quickstart - personalized 3-step setup walkthrough that adapts to what's already configuredpolar_connection_status - verify local setup, scopes and readiness before calling Polarpolar_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 APIpolar_daily_summary - sleep, activity, Nightly Recharge and training brief for todaypolar_weekly_summary - scorecard, comparison vs prior week, next-week planpolar_wellness_context - Nightly Recharge, sleep and training load in the shared wellness_context shapeAuth & diagnostics
polar_capabilities, polar_agent_manifest, polar_privacy_audit, polar_cache_statuspolar_get_auth_url, polar_exchange_code, polar_revoke_accessAccount
polar_get_account_data, polar_list_user_devices, polar_list_subscriptionsShared 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 biomarkersActivity & sleep
polar_list_activity, polar_list_calendarpolar_list_sleeps, polar_list_sleep_wake_vectors — sleep lists hydrate available dates with the v4 sleep-result, sleep-evaluation, and sleep-score features by defaultpolar_list_nightly_rechargeHeart & 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_samplespolar_list_temperature_measurements, polar_list_skin_contactsTraining
polar_list_training_sessions, polar_list_training_targets, polar_list_training_target_favoritespolar_list_testsSports & routes
polar_list_sports, polar_list_sport_profile_catalog, polar_list_sport_profilespolar_get_route - GPS coordinates redacted unless raw modepolar_daily_checkin - practical daily training and recovery check-inpolar_weekly_review - review trends across activity, sleep and recoverypolar_training_load_investigation - investigate training sessions + recovery contextpolar://capabilities, polar://agent-manifest, polar://inventorypolar://summary/daily, polar://summary/weeklypolar://account-data, polar://latest/sleep~/.polar-mcp/tokens.json with 0600 permissions and are never returned by tools.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.summary and structured modes - only raw mode exposes raw coordinates.features are validated per endpoint. Feature queries that Polar limits to one day are hydrated one available date at a time.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
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
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.
http://127.0.0.1:3000/callbackgit clone https://github.com/davidmosi只显示了开头部分;其余内容请在仓库中阅读