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ForkPoint

Agent Lighthouse MCP Server

by ForkPoint

Vista previa del informe generado por Agent Lighthouse


⚡ Inicio rápido

Ejecuta un escaneo sin instalación directamente en tu terminal. La bandera --view abre el informe HTML independiente para capturas de pantalla, revisión de partes interesadas y artefactos de pull request.

# Instant audit (prints terminal report & generates HTML + JSON reports)
npx @forkpoint/agent-lighthouse https://yourstore.com

# Open the standalone HTML report in your browser
npx @forkpoint/agent-lighthouse https://yourstore.com --view

# Run in CI and fail if score is below threshold
npx @forkpoint/agent-lighthouse https://staging.yourstore.com --min-score 85

Agent Lighthouse verifica 199 reglas que cubren llms.txt, política de rastreadores robots.txt, Schema.org, descubrimiento de OpenAPI, superficies de acción WebMCP, estructura de contenido AEO/GEO, accesibilidad y preparación técnica.


Related MCP server: maxaeo-ai-visibility-mcp

🎯 Lo que Agent Lighthouse verifica

Agent Lighthouse evalúa sitios web en 10 categorías de auditoría agrupadas en 3 pilares de preparación:

├── 1. Agentic Readiness
│   ├── AI Agent Tools & Action Surfaces (WebMCP manifests, OpenAPI specs, agents.json, ai-plugin.json)
│   ├── Content Discoverability (llms.txt, llms-full.txt, sitemaps, commerce links)
│   └── AI Crawler Permissions (robots.txt rules for GPTBot, ClaudeBot, PerplexityBot, etc.)
│
├── 2. AI Search Optimization
│   ├── Answer Engine Optimization (AEO) (direct answerability, step lists, table schemas)
│   └── Generative Engine Optimization (GEO) (unique data density, authoritative citations)
│
└── 3. Technical Foundation
    ├── Structured Data & Schema Markup (Schema.org Product, Offer, SKU, GTIN, Organization)
    ├── Meta Tags & AI Head Elements (AI content declarations, canonicals, Open Graph)
    ├── Semantic HTML & Content Structure (Headings hierarchy, landmarks, semantic tags)
    ├── Accessibility & Agent Interaction (Form labels, button roles, interactable elements)
    └── Technical Readiness & Security (HTTPS, security.txt, TTFB response latency)

📦 Paquetes y arquitectura

Este repositorio está organizado como un monorepositorio ligero de pnpm publicado bajo el ámbito @forkpoint:

Paquete

Paquete npm

Descripción

packages/cli

@forkpoint/agent-lighthouse

Binario principal de CLI (npx @forkpoint/agent-lighthouse <url>).

packages/core

@forkpoint/agent-lighthouse-core

Motor central de recopilación y auditoría, algoritmos de puntuación y tipos.

packages/report

@forkpoint/agent-lighthouse-report

Modelo de vista de informe unificado HTML, Markdown e independiente.

packages/mcp

@forkpoint/agent-lighthouse-mcp

Servidor del Protocolo de Contexto de Modelo (MCP) para Claude / Cursor / IDEs.


🛡️ CI de GitHub Actions

Usa Agent Lighthouse como una puerta de pull request para regresiones de preparación agéntica:

name: Agent Lighthouse

on:
  pull_request:
    branches: [main]

jobs:
  agent-lighthouse:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: ForkPoint/agent-lighthouse@main
        with:
          url: https://staging.yourstore.com
          preset: ecommerce
          min-score: "85"
          github-token: ${{ secrets.GITHUB_TOKEN }}

La acción genera informes en terminal, HTML, JSON y Markdown. Configura comment-on-pr: true con github-token para publicar el resumen en Markdown en los pull requests. Consulta la guía de configuración del marketplace para ejemplos listos para publicación.


💻 SDK programático de Node.js / TypeScript

import { runScan } from "@forkpoint/agent-lighthouse-core";
import {
  buildReportView,
  generateHtmlReport,
} from "@forkpoint/agent-lighthouse-report";

const report = await runScan("https://example.com");
const view = buildReportView(report);

console.log(`Overall Score: ${view.overallScore}/100 (${view.scoreTier})`);

// Generate standalone HTML report
const html = generateHtmlReport(report);

🤖 Servidor del Protocolo de Contexto de Modelo (MCP)

Agrega Agent Lighthouse a tu Claude Desktop o Cursor IDE para permitir que los agentes de codificación de IA auditen URLs de staging en vivo:

{
  "mcpServers": {
    "agent-lighthouse": {
      "command": "npx",
      "args": ["-y", "@forkpoint/agent-lighthouse-mcp"]
    }
  }
}

📣 Comparte tu puntuación

Los informes generados son archivos independientes, por lo que los equipos pueden adjuntarlos a pull requests, enviarlos a clientes o publicar mejoras de antes/después.

[![Agent Lighthouse](https://img.shields.io/badge/Agent%20Lighthouse-ready-4f46e5)](https://github.com/ForkPoint/agent-lighthouse)

Si ejecutas Agent Lighthouse en un sitio público, comparte el resultado a través de la plantilla de puntuación del sitio. Los buenos ejemplos ayudan a otros desarrolladores a aprender cómo son los sitios preparados para agentes.

Más material de lanzamiento se encuentra en:


🛠️ Desarrollo

# Clone the repository
git clone https://github.com/ForkPoint/agent-lighthouse.git
cd agent-lighthouse

# Install dependencies
pnpm install

# Build all packages
pnpm build

# Run unit tests
pnpm test

📄 Licencia

GPL-3.0-only © ForkPoint

Maintenance

ActivityMaintained
ResponsivenessUnresponsive

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