@genready/mcp-server
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AlicenseAqualityBmaintenanceScans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.5437 npm2MIT
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- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to score any live domain for visibility in AI answer engines and then generate and apply paste-ready fixes — robots.txt, llms.txt, JSON-LD, titles and meta — either directly to project files or as click-by-click admin steps for hosted platforms like Squarespace, Wix and Shopify. It also re-checks edits, reads server access logs to confirm which crawlers actually arrived and whether they were genuine, and offers hosted tools for citation testing, score history, drift and competitor comparison.110 npmMIT
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agentbuiltofficial
AlicenseNot gradedqualityCmaintenanceEnables AI agents to run a free AI-readiness audit of any URL, checking AI crawler rules, JavaScript-free page text, JSON-LD, llms.txt, sitemap, meta description, FAQ schema, and returning a score with findings and fixes. Also exposes the same capability via an A2A agent endpoint.MIT- AlicenseNot gradedqualityCmaintenanceEnables checking whether a page or domain can be found and cited by AI assistants and search engines, covering page-level fixes, AI-crawler access via robots.txt, llms.txt validity, and backlink strength. It is free, read-only, and requires no account.MIT
TDQS
Scored across 12 tools
Most tools have clearly distinct roles: scanning (analyze_website, start_site_analysis), reading (get_report, get_findings, get_fix_plan), and lifecycle (update_finding, verify_findings, get_artifact). The get_report/get_findings/get_fix_plan trio overlaps somewhat, but descriptions explicitly steer ('use get_report instead if you only need scores'), and the page-vs-site distinction is stated.
All twelve tools use consistent snake_case verb_noun form (get_usage, list_reports, check_status, start_site_analysis, verify_findings). No mixing of camelCase or vague single-verb names.
Twelve tools falls squarely in the well-scoped 3-15 range, and each maps to a distinct step in the scan-fix-verify workflow. No redundant or filler tools.
The surface covers the full workflow: credit check, single/site scanning, status polling, report and findings reads, artifact generation, finding state updates, and post-deploy verification. Minor gaps exist around domain management (only list_domains, no add/remove) and report cleanup, but core CRUD/lifecycle is covered.