SEO/AEO Audit MCP
Generates a comprehensive 5-section PDF audit for any website covering SEO, AEO, technical, authority, and AI visibility using Ahrefs, CrUX, and OpenAI.
README
SEO / AEO Audit MCP
An MCP server + skill that produces a 5-section landscape PDF audit for any website:
- Executive Summary — health score, key metrics, top gaps, priority plan
- Search Demand + Content Performance — Ahrefs keywords/pages, what's working / limiting growth
- Technical SEO + AEO Readiness — crawl findings, Core Web Vitals (CrUX), structured-data gaps
- Authority + Roadmap — backlink profile (with spam flags), 90-day roadmap
- 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
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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.