ASO Score MCP
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- AlicenseAqualityAmaintenanceScans any website and produces an Agent Readiness Report scored on the open ASO framework.532 npm2MIT
- AlicenseAqualityAmaintenanceScans any website to generate an Agent Readiness Report based on the ASO framework, evaluating agent discoverability, trust, interoperability, and commerce readiness.571 npmMIT
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- AlicenseAqualityDmaintenanceEnables users to scan any website for AI search visibility, producing AEO, GEO, agent readiness, and mention-readiness scores along with AI identity and business profile insights. Paid tools extend this to competitive comparisons, detailed audits, and generated fixes.41MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents like Claude and Cursor to audit websites for AI agent readiness, checking 199 rules across agentic discovery, content structure, and technical SEO.17Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables scanning any website for AI agent compatibility and marketing health, returning interactive dashboard reports with scores and revenue impact estimates.-
- AlicenseAqualityBmaintenanceEnables AI agents to check whether a public website is crawlable, understandable, and ready for AI search workflows through local-only audits of robots.txt, sitemaps, metadata, and llms.txt.350 npm1MIT
- AlicenseAqualityAmaintenanceProvides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.15156 npmMIT

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
TDQS
Scored across 5 tools
Each tool serves a uniquely scoped purpose: targeted single-check validation (check_signal), framework education (get_aso_framework), prioritized remediation (get_fix_plan), check catalog discovery (list_checks), and full site scanning (scan_site). Descriptions explicitly differentiate overlapping tools like get_fix_plan and scan_site by intended use case.
All tool names follow a uniform verb_noun pattern with lowercase and underscores (e.g., check_signal, get_aso_framework, list_checks). Verbs are descriptive and consistently paired with singular or plural nouns appropriate to the operation.
With exactly 5 tools, the set is compact yet covers all core operations: listing, single-check, full scan, remediation, and framework reference. No tool feels superfluous, and the count matches the server's specialized scope without under- or over-provisioning.
The tool surface covers the full lifecycle of ASO scoring: discover checks (list_checks), run individual checks (check_signal), perform a comprehensive scan (scan_site), obtain a remediation plan (get_fix_plan), and understand the underlying framework (get_aso_framework). There are no obvious gaps for the stated purpose of agent-readiness evaluation.