
Health by Dr Brad
io.github.DrBradStanfield由 GitHub 账号 DrBradStanfield 发布v1.0.2更新于 Oct 27, 2026
Read and add to your own health record, kept in your own cloud, and get a health plan from it.
概览
托管型连接器,读取存放在你自己云盘中的个人健康记录,让助手查看记录、添加测量与化验结果,并生成筛查计划。
- 可以做什么
- 读取存放在 Dropbox 或 Google Drive 中的健康记录文件,包括文件夹里尚未写入记录的档案
- 添加测量值、血液化验结果和筛查答案,更正以追加新行而非覆盖旧行
- 从 Dropbox 应用文件夹导入化验文档,并录入助手从聊天中文件读取到的结果
- 生成健康计划,列出到期应做的筛查项目,附循证建议与引用
- 通过连接器提交反馈
- 适用场景
- 适合已经使用 Dr Brad 健康路线图记录、希望让助手读取记录、补充新的测量或化验数值并提示哪些筛查到期的人。主要面向通过 Claude 或 ChatGPT 操作该记录的用户。
- 运行要求
- 远程 MCP 端点 mcp.drstanfield.com,使用 OAuth 连接。需要一个已连接的 Dropbox 或 Google Drive 账号,其中存放 health-roadmap.json 记录文件;导入文档需要 Dropbox 路径。仅使用网站本身无需账号。
安装
在 SourceWeft 中
- 打开 控制台中的 Health by Dr Brad,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.DrBradStanfield%2Fhealth-by-dr-brad/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"health-by-dr-brad": {
"type": "http",
"url": "https://mcp.drstanfield.com/mcp"
}
}
}README
Health by Dr Brad
A free health roadmap. Enter your measurements and blood test results, and it
shows which screening tests are due, with evidence-based suggestions and their
citations. Use it at https://drstanfield.com/pages/roadmap, no account needed.
Connect it to Claude or
ChatGPT with the connector
URL https://mcp.drstanfield.com/mcp. Your record is one file,
health-roadmap.json, in your own Dropbox or Google Drive or your browser; our
server never keeps it.
Health-metric tracking with personalized suggestions, delivered as a Shopify storefront theme extension and as a self-hosted page.
Local-first. A user's health data lives in their own cloud (Google Drive,
Dropbox, GitHub, WebDAV) or in localStorage, as a single health-roadmap.json
file. The website and the local tools never send that file to our server; the hosted
connector at mcp.drstanfield.com holds it in server memory for the length of one
request and stores none of it. "Logged in" means a cloud provider is
connected. The Fly backend is thin: chatbot, lab-import extraction, A/B and
product events, email reminders, Klaviyo capture, and the hosted MCP server.
Supabase holds operational rows only, never health values. Email reminders are
the one place a screening name reaches us: that row holds the enrolled email
address, the screening labels and the dates they are due, and nothing else
(app/lib/reminder-v2.server.ts).
The three agent surfaces
The same file, the same write path, three ways in.
- Widget: the React app in the storefront or on the self-hosted page.
Reads and writes through
RoadmapStore. - CLI and stdio MCP:
tools/get-plan.ts,tools/edit-record.tsandtools/mcp-server.ts, running on the user's own machine against their own file. See docs/guides/getting-started.md ("An open-source health record you can connect to any AI", the hub guide), docs/guides/command-line.md and docs/guides/connect-claude-desktop.md. - Hosted MCP:
https://mcp.drstanfield.com/mcp, live since 2026-09-02 on the Fly apphealth-tool-edu, over Dropbox and Google Drive. Nine tools as of 2026-09-07: the hosted-onlyimport_documents(US-35) reads lab files from the Dropbox app folder (Drive'sdrive.filescope cannot see dropped files), andfile_results(US-36) takes the rows the assistant read from a file dropped into the chat, so the file never reaches our server. On Dropbox a read also names folder files not yet in the record (US-37).
To answer one hosted call, the server unseals the cloud credential the
assistant holds, opens the user's folder with it, and holds the record in
server memory for the length of that request. It stores none of it. It does
write one value-free activity row per call: which tool, which assistant, the
outcome and the time. (One
exception, for an invented account: while Anthropic's connector review is pending,
the server holds the reviewer account's Dropbox credential itself; US-32
AC38.) Anyone who
does not want that runs surface 2 instead: tools/mcp-server.ts is the same
tool layer over the same file with no server of ours in it at all
(docs/guides/getting-started.md, the hub
guide, and
docs/guides/connect-claude-desktop.md).
Every non-browser writer goes through the same SyncManager
(packages/health-core/src/sync-manager.ts), which merges on conflict and
verifies after writing. The CLI and stdio MCP run it over file-adapter.ts,
which takes a lock file and keeps backups. The hosted MCP runs it over the REST
adapters (dropbox-rest.ts, drive-rest.ts), where the provider's own
conditional write does the same job.
See packages/health-core/README.md.
Rows are never mutated. A correction appends a new row and marks the old one
entered-in-error.
Two builds, one source
Flags: VITE_LOCAL_FIRST for all v2 behavior, VITE_SHOPIFY_SURFACE to gate
the features that need our server.
"Almost no backend" is the honest version of the Pages build. The record and
the chat never touch our server there: the record is written straight to the
user's own cloud, and chat runs on the user's own key. Two optional calls do
reach us, and only if the user makes them. Signing in with Google posts the
OAuth code to /api/google-token, which forwards it to Google and stores
nothing (widget-src/standalone/google-config.ts). Enrolling in email
reminders posts the address and the due dates to /api/reminders-v2
(widget-src/standalone/reminders.ts). Sentry error reporting also runs on
this build (widget-src/standalone/app.tsx calls initSentry), scrubbed by
widget-src/src/lib/sentry.ts before anything leaves the browser: on
drbradstanfield.github.io it is enabled, under the environment name
standalone, so the page does talk to sentry.io. The scrub is the same one the
storefront build runs, the shared scrubEventText over every free-text field of an
event, so a Pages error is reported under the same rules as any other.
The rest of what the page loads is its own. widget-src/standalone/index.html
carries one module script and loads no third-party script at load time; Sentry is
bundled into it, and the hero image ships with the build
(widget-src/standalone/hero-dr-brad.webp, 26 KB) rather than being fetched
from cdn.shopify.com, so loading the page tells Shopify nothing. Connecting
Google Drive loads Google's sign-in script from accounts.google.com. Cloud credentials and the
optional Anthropic key live in localStorage for that origin
(hr_anthropic_key, health_roadmap_dropbox_tokens, health_roadmap_gdrive
and health_roadmap_gdrive_tokens, health_roadmap_github, and
health_roadmap_selfhost, which holds a WebDAV username and password), where any script
running on the origin can read them. /roadmap/ and /roadmap/dev/ are the
same origin, so the staging preview shares that storage with the live page.
Getting started
Node 22 or newer. Never run shopify app dev: the dev preview overrides
production.
Tests
Deploy
CI is the deploy path: .github/workflows/deploy.yml, triggered from Actions →
Deploy → Run workflow. All credentials live in the GitHub production
environment. Manual and emergency steps, plus the two-app Fly split, are in
docs/deploy-runbook.md.
Verifying this yourself
You do not have to take the code's word for it. Open the site with the DevTools network tab recording and use the widget.
- Saving a metric produces no request to our server. The record file is written
only by the adapters in
widget-src/src/storage/(dropbox.ts,drive.ts,github.ts,webdav.ts,local-storage-adapter.ts), so the write goes to your own Dropbox, Google Drive, GitHub, WebDAV server, or localStorage. No endpoint on our server accepts the record for storage. The hosted connector is the one place a record reaches our server at all, and only if you connect one: it reads the file in server memory for the length of one request and stores none of it. - Two requests carry health content, and you trigger both. A lab-document
upload POSTs the document's page content to
/api/lab-import-v2, which sends it to Anthropic's API for extraction, returns the values, and stores none of them. Sending a chat message from the storefront widget POSTs the message, that conversation's earlier turns, and the health context needed to answer it to/api/chat. On that surface the server stores one row per question: the first 500 characters of the text you typed, with every number value masked to#(some test names that contain a digit, such as HbA1c, stay as written), which may still hold health details you wrote in words; the articles it matched; its classification; the router's raw output and any router error; the name of the surface; and a pseudonymous session and conversation id. The earlier turns and the reply are not stored. A daily job blanks the question text, the router's raw output and the error text once a row is 30 days old; the match record stays: the articles, the classification, the ids. A guest session row holds a hashed address, not an IP. - The chat bubble on blog pages and the chatbot embed send less than the
widget's chat, and keep more. Both read the widget's copy of your saved
record out of
localStorageand send it as chat context on every message (loadGuestInputs()inwidget-src/src/lib/storage.ts, called fromwidget-src/src/site-chat.tsxandwidget-src/src/chatbot-embed.tsx). That context is your saved profile (sex, height, birth year and month, unit system); the latest saved value of each measurement, with its date; the medications on record, with drug names and doses; and every screening answer on record: methods, results, dates and follow-ups, your smoking history and pack-years, your PSA value, your answers on discussing prostate and endometrial screening, and your answer about abnormal bleeding. Nothing you typed without saving is in it. The widget's own chat sends all of that, plus up to 24 dated values per measurement and whatever is typed on the page but not yet saved. Neither bundle setsVITE_LOCAL_FIRST, so the server takes them for a stored surface: it writes your question and the reply intochat_messages, and the reply can quote the values you were sent with. It also writes achat_match_eventsrow per question, holding the question unmasked and your earlier questions (router_context). When you are signed in to the store, these rows carry your customer account'suser_id. Deleting a conversation in the bubble deletes its messages and title and blanks the question text of its match rows. Those cached values are still sent as context; Brad chose on 2026-09-10 to keep that, because the answer is worse without them. The transcripts now join the same 30-day purge (app/lib/chat-purge-cron.server.ts): once a row is 30 days old the job blanks the message text and the conversation title, which is the first words of your question. What stays is the shape of the thread, not the words: row ids, the role, the timestamps, the model, the token counts, and the fallback flags. A blanked turn reads back as[removed after 30 days]. The Discord bot's transcripts are blanked on the same clock, decided 2026-09-10: a question typed at the bot is as private as one typed into the bubble; the author's Discord id stays inexternal_id. The YouTube transcripts stay, because those turns are public comments on a video: the comments and replies inchat_messagesandyoutube_bot_loghave no deletion date. Theirchat_match_eventstext is blanked at 30 days, as on every platform. - Once the question archive is switched on (it ships off; steps in
docs/chat-question-archive/README.md), just before the purge blanks a health question from the widget's chat, the bubble or the embed, it keeps a copy of that one question with no end date, to improve the chatbot (US-15 AC44). An automatic step tries to remove names, places, dates (the year stays), exact ages (the decade stays), contact details, account and order numbers, and the names of employers and schools; it can miss some. The copy keeps the health details, and we do not link it to your account. Making it sends the question to Anthropic once more (their 30-day API retention applies). Store questions, replies, Discord, YouTube and bubble or embed conversations deleted within 30 days are never copied (an earlier copy stays until you ask; a tool-page delete never reaches our server, so it does not stop the copy). "Delete all my data" cannot reach it; to have a copy deleted, email us the wording and we will search for it. - Two devices editing apart converge without a conversation. If both record the same measurement for the same day while apart, the newer entry becomes that day's value; the other stays in your history marked entered-in-error. Nothing is deleted. The record file is the trust root: anything that can write it can already delete it outright, and a file carrying a later erase wins on every device. Recovery is your provider's version history.
- Telemetry is a closed allow-list of event names in
packages/health-core/src/product-events.ts. An event is a name plus an anonymous visitor UUID, and the server rejects any name off the list. - Nothing else we call carries a value.
/api/google-tokenforwards an OAuth code or refresh token to Google and stores nothing./api/reminders-v2sends your reminder schedule, which is a label such as "Colonoscopy" and a due date. On the storefront you do not have to enrol: connecting a cloud provider enrols you, because that connection IS the consent (autoEnrolRemindersinwidget-src/standalone/reminders.ts, the default-on decision of 2026-08-11). Your cloud account's email address, the labels and the dates reach us on that connect. The plan-ready email that follows says reminders are coming and carries the one-click off switch, as does every reminder after it. On the GitHub Pages build nothing enrols you:autoEnrolRemindersreturns immediately off the Shopify surface, and only the toggle, which asks you for an address, can enrol you. Either way what we hold is that address, the schedule and the token that turns reminders off: no health values, no account, nothing else. The optional plan email sends the address you type and that same schedule. - Feedback you type into the widget's feedback box is stored and emailed. The
route takes your email address and up to 2000 characters of free text, adds
your Shopify customer id when you are logged in, writes the row to
feedback_submissionsand sends the same thing to Brad through Resend (app/routes/api.feedback.ts,recordFeedbackSubmissioninapp/lib/product-events.server.ts). Nothing scrubs that text and nothing deletes the row, so health details you write there stay written. - Errors go to Sentry, scrubbed in the browser before they leave it
(
widget-src/src/lib/sentry.ts): console breadcrumb text is replaced, fetch breadcrumb URLs are cut back to their origin, and record-operation errors are reduced to a fixed message and a closed set of tags.sendDefaultPiiis never set. Read the text scrub for what it is (packages/health-core/src/sentry-scrub.ts): it removes email addresses, numbers carrying a unit, and numbers written within 20 characters of about thirty metric and lab words, and server-side it drops any extra field longer than 200 characters. It does not recognise a diagnosis or a name written in prose, and it has no phone-number rule (that guard sits in the connector'sreport_feedbacktool). The control that carries the weight is upstream: the code throws errors with fixed messages instead of echoing the text it was reading. The lab-extraction parse path was changed on 2026-09-10 to do the same, because a JSON or schema error quotes the document back. - Health files cannot ride into the server image. Every health-data pattern in
.gitignoreis also excluded in.dockerignore, and a test asserts the two stay in step (tests/dockerignore.test.ts), so adding an ignore rule without the matching exclusion fails the suite. - The plan footer links to
the privacy notice on both
builds (
widget-src/src/components/ResultsPanel.tsx), so what we do with your data is one click from your plan, not buried in a consent screen.
Where to read next
- CLAUDE.md: the working contract for this repo.
- docs/architecture-v2.md: the visual system map, and the best entry point.
- docs/reference.md: file inventory, data model, endpoints, gotcha archive.
- docs/user-stories.md: every behavior change starts as a story here.
- docs/agent-access.md and docs/mcp-architecture.md: the agent contract and the MCP map.
- docs/guides/: the user-facing guides, starting with getting-started.md, "An open-source health record you can connect to any AI".
- docs/privacy-connector-addendum.md: draft privacy language for the AI connector.
来源:README.md,提交 154a2fc
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1- v1.0.2最新Oct 20, 2026
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