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    Open-source framework for AI agents (Claude Code, Cursor, Codex, Gemini) to autonomously operate Google Ads, Meta Ads, and Search Console. Grounded in a local STRATEGY.md — not metric-chasing. Defense-in-depth security, local-first. Apache 2.0.
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    Apache 2.0
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    An MCP server for crawling websites and extracting comprehensive data including images, SEO metadata, security headers, and business intelligence. It features twelve distinct extraction modes to perform detailed audits for e-commerce sites and general web analysis.
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    MIT
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    Open-source technical SEO crawler MCP server built on LibreCrawl. Runs full audits inside Claude, Cursor, or Codex — 50+ checks (hreflang, schema.org, security headers, WAF detection on 200-OK pages), chunked-progressive engine for large sites, ephemeral by design (server forgets every audit after download).
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    MIT
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    Adds fdl-mcp-server — published on npm at https://www.npmjs.com/package/fdl-mcp-server Five tools any MCP client can call to analyze small business websites: * audit_website — deterministic 5-pillar scorecard (Performance, SEO, Mobile, Security, AEO) with a 0–100 score and specific findings * compare_websites — side-by-side scorecard of two sites with a winner * ai_visibility_check —
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    MIT
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    Enables Claude with 121 tools for website operations, Google Marketing, SEO, performance analysis, security auditing, monitoring, and accessibility testing.
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    MIT
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    MCP server for website SEO + GEO analysis. Scan any URL to get scores across 5 categories (SEO, GEO, Performance, Security, Accessibility) with actionable fix recommendations. Enables AI coding assistants to audit websites and implement fixes autonomously.
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    Enables management of Shopify store via GraphQL, including products, orders, inventory, and discounts with security features like preview mode and write protection.
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  • F
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    Provides comprehensive website auditing for SEO, performance, accessibility, and security using AI-powered analysis. It enables users to generate detailed audit reports and actionable improvement suggestions for any given URL.
    Last updated