MCP protocol is probably more powerful than you realise. Welcome, SEO Crawler MCP - a production-grade SEO crawler / auditing tool that demonstrates the full power of Anthropic's Model Context Protocol (MCP) SDK.
What you're seeing here is a complete application running inside an MCP container! MCP can host sophisticated, multi-step workflows with their own databases, crawlers, and analysis engines. We've barely scratched the surface of what is possible in the MCP wrapper - this isn't really an MCP *server*, more of an MCP Application.
At its core, SEO Crawler MCP uses:
Crawlee HttpCrawler - A production-ready web scraping framework from Apify inspired by the Librecrawl extraction engine (ported to Node from Python) that handles:
- Smart request scheduling and queue management
- Automatic retry logic and error handling
- Respectful crawling with configurable delays
- Memory-efficient streaming for large sites
- Better-SQLite3 - An embedded SQL database that stores:
- Every crawled page's HTML, metadata, and headers
- Link relationships and site structure
- Pre-computed metrics for fast analysis
- Custom SQL Analysis Engine - 25+ specialized queries that detect:
- Content issues (duplicate titles, missing H1s, thin content)
- Technical SEO problems (broken links, canonical issues)
- Security vulnerabilities (missing headers, unsafe links)
- Optimisation opportunities (title length, meta descriptions)
Claude can orchestrate this entire stack through simple function calls (you can also run it in terminal for crawls over 1000 pages)
The crawl runs asynchronously, stores everything in SQLite, and then Claude can query that data through natural language - "analyse this crawl for seo opportunities" or "report on internal broken links" - and the MCP server translates that into sophisticated SQL analysis.
In this video I'm crawling Houtini.com, which has a few problems!
Broken Internal Links
Duplicate Title Tags (26 pages)
Missing H1 Tags (4 pages)
Security Headers (100 pages) - The entire site is missing HSTS headers.
Missing Meta Descriptions (100 pages)
Thin Content (5 pages)
I'm going to deploy this as soon as I cover off a few small issues (I'm currently fixing a small meta header detection issue. If you'd like to test it out, let me know in the comments. Thanks!