Agent Lighthouse MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Agent Lighthouse MCP Serveraudit https://docs.example.com for AI agent readiness"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ā” Quickstart
Run a zero-install scan directly in your terminal. The --view flag opens the standalone HTML report for screenshots, stakeholder review, and pull-request artifacts.
# 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 85Agent Lighthouse checks 215 audits covering llms.txt, robots.txt crawler policy, Schema.org, OpenAPI discovery, WebMCP action surfaces, AEO/GEO content structure, agentic commerce, and operability.
Related MCP server: Seonix SEO MCP
šÆ What Agent Lighthouse Checks
Agent Lighthouse evaluates websites across 8 agent-journey categories grouped into 3 readiness pillars:
āāā 1. Agentic Readiness
ā āāā Access & Crawl Control (robots.txt rules for GPTBot, ClaudeBot, PerplexityBot, blocks, status codes)
ā āāā Machine Discovery (llms.txt, llms-full.txt, sitemaps, feeds, .well-known surfaces)
ā āāā Agent Interfaces (WebMCP manifests, OpenAPI specs, agents.json, search actions)
ā āāā Agentic Commerce (product offers, availability, checkout and payment surfaces)
ā
āāā 2. AI Search Optimization
ā āāā Content Extraction (clean main content, semantic structure, render and response cost)
ā āāā Structured Data (Schema.org Product, Offer, SKU, GTIN, Organization, JSON-LD validity)
ā āāā Answer Readiness (direct answerability, step lists, tables, unique data, citations)
ā
āāā 3. Technical Foundation
āāā Agent Operability & Safety (HTTPS, security.txt, tdmrep, stability, broken agent endpoints)š¦ Packages & Architecture
This repository is organized as a lightweight pnpm monorepo published under the @forkpoint scope:
Package | npm Package | Description |
| Main CLI binary ( | |
| Core gatherer-audit engine, scoring algorithms, and types. | |
| Standalone HTML, Markdown, and unified report view-model. | |
| Model Context Protocol (MCP) server for Claude / Cursor / IDEs. |
š”ļø GitHub Actions CI
Use Agent Lighthouse as a pull-request gate for agentic readiness regressions:
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 }}The action generates terminal, HTML, JSON, and Markdown reports. Set comment-on-pr: true with github-token to post the Markdown summary on pull requests. See the marketplace setup guide for release-ready examples.
š» Programmatic Node.js / TypeScript SDK
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);š¤ Model Context Protocol (MCP) Server
Add Agent Lighthouse to your Claude Desktop or Cursor IDE to let AI coding agents audit live staging URLs:
{
"mcpServers": {
"agent-lighthouse": {
"command": "npx",
"args": ["-y", "@forkpoint/agent-lighthouse-mcp"]
}
}
}š£ Share Your Score
Generated reports are standalone files, so teams can attach them to pull requests, send them to clients, or publish before/after improvements.
[](https://github.com/ForkPoint/agent-lighthouse)If you run Agent Lighthouse on a public site, share the result through the site score template. Good examples help other developers learn what agent-ready sites look like.
More material lives in:
š ļø Development
# 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 testš License
Apache-2.0 Ā© ForkPoint
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