forency-mcp
Forency — Forense de tecnología web
Detecta la pila tecnológica detrás de cualquier sitio web: CMS, comercio electrónico, frameworks de JavaScript, analítica, CRM, automatización de marketing, pagos, chat, CDN y alojamiento. Diseñado primero para agentes de IA (servidor MCP) y segundo para humanos (API REST + playground).
En vivo: forency.io
Documentación: forency.io/docs
Servidor MCP:
forency-mcpen npm
Por qué
La API de BuiltWith cuesta desde $295/mes, la de Wappalyzer desde $250/mes, y ninguna incluye un servidor MCP. Forency cubre las ~100 tecnologías que de verdad impulsan la prospección y la investigación competitiva, empieza gratis y llega a un máximo de $49/mes.
Related MCP server: techstack-detective-mcp
Stack
Capa | Opción |
Aplicación | Next.js 16 (App Router, TypeScript, Tailwind 4) en Vercel |
Detección | Motor interno sobre un conjunto seleccionado de huellas derivado de webappanalyzer (GPL-3.0) |
Base de datos | Postgres (Neon) vía Prisma 7 |
Autenticación | Auth.js v5 — GitHub + Google |
Facturación | Suscripciones de Stripe Checkout + webhook |
MCP |
|
Estructura
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 stdioDesarrollo local
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 devVerificación
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 stdioActualizar la detección
lib/engine/fingerprints.json es una instantánea incluida en el repositorio. Para incorporar cambios de upstream o añadir tecnologías, edita lib/engine/curated-list.ts y ejecuta:
npx tsx scripts/build-fingerprints.tsEl script falla ruidosamente si un nombre seleccionado no existe en upstream y sugiere coincidencias cercanas. Las tecnologías de nivel 1 que upstream no detecta bien reciben superposiciones en lib/engine/custom-patterns.ts.
Licencia
Código de la aplicación: MIT. Los patrones de detección derivan de webappanalyzer (GPL-3.0) y se usan en el servidor; no se redistribuyen en el paquete npm.
This server cannot be deployed
Maintenance
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