warOnSaaS Scanner

Can AI assistants read your website? Put in an address and in about thirty seconds you see what ChatGPT, Claude and Google can read on its home page, a score out of 100, and the fix for every gap.

• A web page where anyone enters a website and watches the scan happen, request by request, with a report page you can share.

• An MCP server, so Claude, ChatGPT, Claude Code and Codex can run scans, follow them, read reports and compare sites from their own agents.

• An HTTP API, JSON or a live stream.

• A command line tool and a library for Node.

No AI model is involved, so the same site gets the same score every time and a scan costs nothing to run. Apache-2.0.

Everything a person can do, an agent can do

Every capability is one operation in server/ops.mjs. The MCP tools and the API routes are both generated from that list, and the web pages call those API routes, so a person and an agent go through the same functions. test/parity.test.mjs fails if that ever stops being true.

GET /api returns this table as JSON.

Related MCP server: @pulspeed/mcp-server

Use it from your agent

The hosted scanner's MCP address is https://waronsaas-scanner.vercel.app/mcp (Streamable HTTP, no sign-in).

• Claude (web, desktop, phone): Settings, Connectors, Add custom connector, paste the address.

• ChatGPT (developer mode): Settings, Apps and Connectors, Create, paste the address.

• Claude Code: claude mcp add --transport http scanner https://waronsaas-scanner.vercel.app/mcp

• Codex: codex mcp add scanner --url https://waronsaas-scanner.vercel.app/mcp

• Scanning from your own machine instead: claude mcp add scanner -- npx -y github:warOnSaaS/scanner mcp (or the same command after codex mcp add scanner --). Reports are kept in ~/.cache/wos-scanner.

Then ask: "Scan mysite.com and tell me the three fixes worth the most", or "Compare mysite.com with competitor.com".

Command line

npx github:warOnSaaS/scanner example.com            # the report, in plain words
npx github:warOnSaaS/scanner example.com --json     # every finding as JSON
npx github:warOnSaaS/scanner compare a.com b.com    # side by side
npx github:warOnSaaS/scanner batch sites.txt --out results.jsonl   # many sites, resumable, one at a time
npx github:warOnSaaS/scanner checks                 # every check, why it matters, how to fix it

Google PageSpeed runs when PAGESPEED_KEY is set (or with --pagespeed); --no-pagespeed skips it.

Library

import { scan, explain, toText } from '@waronsaas/scanner';
const r = await scan('example.com', { onStep: s => console.log(s.label, s.state), pagespeed: false });
console.log(r.grade, explain(r).fixes[0]);

src/scan.mjs is the scan, src/checks.mjs holds every check's plain-English "why it matters" and "how to fix it", and src/report.mjs turns a scan into a summary, a list of fixes with their worth in points, a comparison or plain text.

How the score works

Four areas, each scored out of 100 from weighted checks, then combined: what AI assistants can read 40%, search basics 25%, speed 25%, security basics 10%. The scan requests the home page and a handful of public files (llms.txt, llms-full.txt, ai.txt, .well-known/ucp, robots.txt, sitemap.xml), the way any crawler does, plus Google PageSpeed on a phone when a key is set. Without PageSpeed, the speed and security areas are scored from the remaining checks.

It only scans public websites: a name that resolves to a private or internal address is refused, and so is any redirect that leads to one.

Run your own

npm install
npm run sync-kit          # copies the UI kit (warOnSaaS/ui-design, its main branch) into public/ui
npm run dev               # http://localhost:8787, reports kept in ./reports
npm test                  # the checks, the API, the MCP tools and the agent parity test
npm run shots             # screenshots at 1440 and 390 wide into .shots/

public/ui is git-ignored: it is a copy of ui-design made by scripts/sync-kit.mjs, which reads the kit's main branch through git so unfinished work on another branch never ships. .vercelignore still uploads it.

Environment

Locally, put them in .env.local (git-ignored).

Limits

A fresh scan fetches someone else's website and, with a key, spends a shared Google quota, so:

• a site scanned in the last day is served from that scan (re-scans wait a quarter of an hour);

• each visitor gets 6 fresh scans per ten minutes and 30 a day;

• the server stops at 2,000 fresh scans and 1,500 PageSpeed runs a day.

The counts live in each server instance's memory, so they are a floor. For a busy deployment add a rate-limit rule in the Vercel firewall on /api/scan, /api/compare and /mcp.

Deploy on Vercel

npm run sync-kit
vercel link
vercel blob store add scanner-reports      # then connect it to the project, which sets BLOB_READ_WRITE_TOKEN
printf '%s' "$KEY" | vercel env add PAGESPEED_KEY production
vercel deploy --prod

One function (api/index.mjs) serves the pages, the API and /mcp; public/ is served as files.

License

Apache-2.0. The web page uses warOnSaaS ui-design (Apache-2.0) and its fonts (SIL Open Font License 1.1). See NOTICE.