Context: Why Another SEO Tool When We Have Screaming Frog?

When evaluating AgriciDaniel/claude-seo for integration into our content automation pipeline, the first question was obvious: why not just shell out to existing headless scrapers or commercial SEO APIs? The repository claims 26 sub-skills and 19 sub-agents covering technical audits, E-E-A-T scoring, schema validation, and agent-readiness checks (Lighthouse Agentic Browsing, WebMCP, llms.txt). The value proposition centers on native LLM context awareness —not just crawling sites, but reasoning about discoverability through the lens of emerging agentic browsing protocols.

The operational question: does this actually reduce token waste and improve output quality compared to feeding raw HTML dumps into Claude, or is it architectural overhead?

Installation & Baseline Test

The repository provides a Claude Code MCP server integration.…