roadmap
Health by Dr Brad: a free, local-first personal health record and preventive health plan. Your data stays in one JSON file in your own cloud. Hosted MCP server for Claude and ChatGPT, plus an offline CLI.
Install / Use
claude mcp add DrBradStanfield -- npx -y github:DrBradStanfield/roadmapIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Our assessment of roadmap
roadmap scores 83/100 on our quality scale, 649th of 946 AI & Machine Learning skills we index.
Its MCP Server is 15 KB long, well organised into 8 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated today, so roadmap is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
roadmap compared with similar skills
All 4 of these similar skills score higher than roadmap; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| roadmap (this skill)by DrBradStanfield | 83 | 10 | today | MCP Server |
| claude-memby thedotmack | 100 | 102.1k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 100.6k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 87.5k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install roadmap?
- Run
claude mcp add DrBradStanfield -- npx -y github:DrBradStanfield/roadmap. The install tabs above show the steps for each supported agent. - Which AI agents does roadmap work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is roadmap safe to use?
- It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is roadmap still maintained?
- The repository was last updated today, so roadmap is actively maintained.
Skill content
View source on GitHubHealth 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. (One
exception, for an invented account: while an OpenAI or Anthropic app 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
| Build | Command | Where |
| --- | --- | --- |
| Shopify storefront | npm run build:shopify-prod | both stores, theme extension |
| Self-host | npm run build:pages | GitHub Pages, almost no backend, bring your own keys |
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
git clone <repo-url>
cd roadmap
npm install
cp .env.example .env # fill in what you need
npm run test:all
Node 22 or newer. Never run shopify app dev: the dev preview overrides
production.
Tests
npm test # symlink guard + health-core + server
npm run test:all # everything, and what CI runs
npx vitest run <path>
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, nothing more, which may hold health details you wrote into it; 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. 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 YouTube transcripts stay, because those turns are public comments on a video under their own retention. - 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 conne
Truncated for display — read the full file on GitHub.
Related Skills
claude-mem
102.1kPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Agent-Reach
100.6kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Understand-Anything
87.5kGraphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
headroom
77.2kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
