forency-mcp
Forency — Website-Technologie-Forensik
Erkenne den Technologie-Stack hinter jeder Website: CMS, E-Commerce, JavaScript-Frameworks, Analytics, CRM, Marketing-Automatisierung, Zahlungen, Chat, CDN und Hosting. Entwickelt zuerst für KI-Agenten (MCP-Server), dann für Menschen (REST-API + Playground).
Live: forency.io
Dokumentation: forency.io/docs
MCP-Server:
forency-mcpauf npm
Warum
Die API von BuiltWith beginnt bei 295 $/Monat, die von Wappalyzer bei 250 $/Monat, und keine der beiden bietet einen MCP-Server an. Forency deckt die ~100 Technologien ab, die tatsächlich Akquise und Wettbewerbsforschung vorantreiben, startet kostenlos und kostet höchstens 49 $/Monat.
Related MCP server: techstack-detective-mcp
Stack
Ebene | Wahl |
App | Next.js 16 (App Router, TypeScript, Tailwind 4) auf Vercel |
Erkennung | Eigene Engine über einen kuratierten Fingerprint-Satz, abgeleitet von webappanalyzer (GPL-3.0) |
Datenbank | Postgres (Neon) über Prisma 7 |
Abrechnung | Stripe-Checkout-Abonnements + Webhook |
MCP |
|
Aufbau
app/
page.tsx landing + free playground
pricing/ docs/ dashboard/
api/
v1/lookup POST {url} → metered, Bearer key
v1/batch POST {urls} → up to 25 URLs
scan playground (no key, 3/day per IP)
key issue/rotate a user's API key
stripe/ checkout · portal · webhook
auth/ Auth.js handlers
lib/
engine/ detect.ts · curated-list.ts · custom-patterns.ts · fingerprints.json
api-auth.ts key auth + atomic monthly metering
plans.ts keys.ts prisma.ts stripe.ts
packages/mcp/ the published MCP server
scripts/
build-fingerprints.ts regenerate fingerprints.json from upstream
eval-engine.ts detection accuracy harness (25 known sites)
test-funnel.ts end-to-end: key → free tier → 429 → upgrade
test-mcp.ts drives the MCP server over stdioLokale Entwicklung
npm install
cp .env.example .env # fill in the values
# local Postgres
docker run -d --name forency-pg \
-e POSTGRES_USER=forency -e POSTGRES_PASSWORD=forency -e POSTGRES_DB=forency \
-p 5433:5432 postgres:16-alpine
npx prisma migrate dev
npm run devVerifikation
npx tsx scripts/eval-engine.ts # detection accuracy (25/25 expected)
npx tsx scripts/eval-engine.ts example.com # scan one site, full JSON
# with the dev server running:
npx tsx scripts/test-funnel.ts # billing funnel end to end
cd packages/mcp && npm run build && cd ../..
npx tsx scripts/test-mcp.ts # MCP server over stdioAktualisieren der Erkennung
lib/engine/fingerprints.json ist ein eingecheckter Snapshot. Um Upstream-Änderungen zu übernehmen oder Technologien hinzuzufügen, bearbeite lib/engine/curated-list.ts und führe Folgendes aus:
npx tsx scripts/build-fingerprints.tsDas Skript schlägt deutlich fehl, wenn ein kuratierter Name upstream nicht existiert, und schlägt ähnliche Namen vor. Tier-1-Technologien, die upstream schlecht erkannt werden, erhalten Overlays in lib/engine/custom-patterns.ts.
Lizenz
Anwendungscode: MIT. Die Erkennungsmuster leiten sich von webappanalyzer (GPL-3.0) ab und werden serverseitig verwendet; sie werden nicht im npm-Paket weiterverbreitet.
This server cannot be installed
Maintenance
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