Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"seo-crawler-mcp": {
"env": {
"OUTPUT_DIR": "C:\\seo-audits"
},
"args": [
"-y",
"@houtini/seo-crawler-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Crawl and analyse your website for errors and issues that probably affect your site's SEO
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@houtini/seo-crawler-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked @houtini/seo-crawler-mcp against OSV.dev.
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Others in browser / marketing
Browser automation with Puppeteer for web scraping and testing
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
MCP server for Firecrawl — search, scrape, and interact with the web. Supports both cloud and self-hosted instances. Features include web search, scraping, page interaction, batch processing, and LLM-powered content analysis.
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
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Crawl and analyse your website for errors and issues that probably affect your site's SEO
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Installation | CLI mode | How to use | What gets detected | Data storage | Performance | Tools reference | Available queries
I wanted to build on my experience working with the MCP protocol SDK to see just how far we can extend an AI assistant's capabilities. I decided that I'd quite like to build a crawler to check my site's "technical SEO" health and came across Crawlee - which seemed like the ideal library to base the crawl component of my MCP.
What's interesting is that MCP usually indicates a server connection of some sort. This is not so with SEO Crawler MCP. The MCP protocol is probably more powerful than I realised - this is a self-contained application wrapped in the MCP SDK that handles everything locally:
Claude (or your AI assistant of choice) can orchestrate this entire stack through simple function calls. 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.
You can also run crawls directly from the terminal - perfect for large sites or background processing. The CLI mode lets you run a crawl, get the output directory, and then hand that over to Claude for AI-powered analysis via the MCP tools.
The core crawling architecture is inspired by the logic and patterns from the LibreCrawl project. We've adapted their proven crawling methodology for use within the MCP protocol whilst adding comprehensive SEO analysis capabilities.
If you're new to MCP servers, I'd recommend reading these first:
I'd also suggest installing [Desktop Commander](https://houtini.com/deskt