SEO / AEO Audit MCP

An MCP server + skill that produces a 5-section landscape PDF audit for any website:

1. Executive Summary — health score, key metrics, top gaps, priority plan

2. Search Demand + Content Performance — Ahrefs keywords/pages, what's working / limiting growth

3. Technical SEO + AEO Readiness — crawl findings, Core Web Vitals (CrUX), structured-data gaps

4. Authority + Roadmap — backlink profile (with spam flags), 90-day roadmap

5. AI Visibility — how often the brand surfaces in AI answer-engine results, vs. competitors

It exposes three tools — fetch_audit_data (crawl + Ahrefs + Core Web Vitals), fetch_ai_visibility (grounded OpenAI brand-visibility), and render_audit_pdf — and a skill that orchestrates them into one audit <url> command.

Setup

• Have an AI assistant (Claude Code, etc.)? Tell it: "Set up this tool by following AGENT_SETUP.md." → AGENT_SETUP.md

• Doing it yourself? → SETUP.md

Related MCP server: agentaeo-mcp-server

Requirements

• Node.js 18+

• AHREFS_API_KEY (paid) — required (the core SEO data)

• OPENAI_API_KEY (paid) — optional; enables the AI Visibility section (omitted/"not measured" without it)

• CRUX_API_KEY (free, Google Chrome UX Report API) — optional; adds Core Web Vitals

The audit runs with only the Ahrefs key; the other two just add sections.

Keys go in a local .env (copy .env.example); never commit it.

Use

After setup, in your assistant: audit https://example.com → PDF saved to your Desktop.

Each audit makes ~10 OpenAI calls plus Ahrefs API usage — small but metered cost per run.