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AI Technical SEO MCP Server

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AI Technical SEO MCP Server

AI Technical SEO MCP Server

AI-ready technical SEO auditing with 7 specialized tools. Check robots.txt, llms.txt, generate sitemaps, run Lighthouse & GTmetrix audits, test rich results, and perform comprehensive technical SEO audits - all through a unified MCP interface.

Pricing

Pay per usage

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John Rippy

John Rippy

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Technical SEO MCP Server

AI-ready technical SEO auditing with 7 specialized tools. Check robots.txt, llms.txt, generate sitemaps, run Lighthouse & GTmetrix audits, test rich results, and perform comprehensive technical SEO audits - all through a unified MCP interface.

Built by John Rippy | johnrippy.link

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI assistants like Claude, ChatGPT, and Cursor to use external tools. This MCP Server exposes 7 technical SEO tools that AI assistants can call directly.

Available Tools

1. check_robots_txt

Check and analyze a website's robots.txt file. Validates syntax, checks for common issues, and verifies bot access rules.

{
"url": "https://example.com"
}

Returns: Rules, sitemaps, crawl delays, issues, recommendations

2. check_llms_txt

Check if a website has an llms.txt file for AI/LLM crawlers. Analyzes AI-readiness and LLM access policies.

{
"url": "https://example.com"
}

Returns: AI-readiness score, detected AI policies, recommendations

3. generate_sitemap

Generate or analyze XML sitemap for a website. Crawls site structure and creates sitemap with priorities and change frequencies.

{
"url": "https://example.com",
"maxPages": 100,
"includeImages": true
}

Returns: Complete sitemap XML, URL stats, change frequencies

4. audit_technical_seo

Comprehensive technical SEO audit including meta tags, headers, schema markup, page speed indicators, mobile-friendliness, and crawlability issues.

{
"url": "https://example.com",
"depth": 2,
"checkMobile": true
}

Returns: Overall score, category scores, issues by severity, recommendations

5. test_rich_results

Test structured data and schema.org markup for Google Rich Results eligibility. Validates JSON-LD, Microdata, and RDFa.

{
"url": "https://example.com"
}

Returns: Eligibility status, detected schema types, validation errors/warnings

6. run_lighthouse

Run Google Lighthouse audit for performance, accessibility, best practices, SEO, and PWA scores.

{
"url": "https://example.com",
"device": "mobile",
"categories": ["performance", "accessibility", "seo"]
}

Returns: Category scores, Core Web Vitals, opportunities, diagnostics

7. run_gtmetrix

Run GTmetrix performance test for page speed, Core Web Vitals (LCP, TBT, CLS), and optimization recommendations.

{
"url": "https://example.com",
"location": "San Antonio, TX",
"browser": "chrome"
}

Returns: Grades, Web Vitals, page timing, size breakdown, recommendations

Quick Start

Using with Apify (Direct)

# Run via API
curl -X POST "https://api.apify.com/v2/acts/localhowl~technical-seo-mcp-server/runs" \
-H "Authorization: Bearer YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"tool": "run_lighthouse",
"toolInput": {
"url": "https://example.com",
"device": "mobile"
},
"demoMode": true
}'

Using with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
"mcpServers": {
"technical-seo": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-server-apify", "--actor", "localhowl~technical-seo-mcp-server"],
"env": {
"APIFY_TOKEN": "your_apify_token"
}
}
}
}

Using with n8n

Install the n8n-nodes-johnrippy-seo package for native n8n integration with this MCP server.

Example Prompts for AI Assistants

Once connected, you can ask your AI assistant:

  • "Check the robots.txt file for example.com and identify any issues"
  • "Run a Lighthouse audit on my-site.com for mobile"
  • "Test if my homepage has valid structured data for rich results"
  • "Generate a sitemap for my website with up to 200 pages"
  • "Audit the technical SEO of competitor.com"
  • "Check if example.com has an llms.txt file for AI crawlers"
  • "Run a GTmetrix performance test on my landing page"

Use Cases

SEO Agencies

  • Automated technical audits for client onboarding
  • Regular monitoring of crawlability and indexability
  • Competitor technical SEO analysis

Content Teams

  • Verify structured data before publishing
  • Check page speed impact of new content
  • Monitor Core Web Vitals across key pages

Developers

  • Pre-launch technical SEO checklist
  • CI/CD integration for performance testing
  • Schema markup validation

AI-First Workflows

  • Claude or ChatGPT can audit sites on demand
  • Automated technical SEO monitoring with AI analysis
  • Natural language interface to technical SEO tools

Pricing

Pay-per-event pricing on Apify:

  • Base cost per run
  • Additional costs based on underlying actor usage

Demo mode is free and returns realistic sample data.

This MCP Server bundles these underlying Apify actors:

  • robots-txt-checker - Robots.txt analysis
  • llms-txt-checker - AI crawler policy checker
  • sitemap-generator - XML sitemap generation
  • technical-seo-auditor - Comprehensive technical audit
  • rich-results-tester - Schema.org validation
  • google-lighthouse-checker - Lighthouse audits
  • gtmetrix-tester - GTmetrix performance testing

Support

License

MIT License - Free to use for any purpose.