Hi HN, Crawl4AI is an amazing open-source library that solves many LLM-scraping headaches, but I found that new developers often struggle with production configurations—specifically how to use it with MCP servers for Cursor, or how to bridge it with automation tools like n8n. I built crawl4ai.dev as a community-driven documentation hub to fill these gaps. It includes: One-click Docker setups for n8n/FastAPI. Production-ready MCP server guides for Cursor & Claude. Cost/performance benchmarks vs proprietary tools like Firecrawl. The goal is to help everyone build self-hosted, affordable AI data pipelines. I'd love to hear your feedback on the guides or what other integrations you'd like to see documented!
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