DS4AI MCP
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- AlicenseAqualityAmaintenanceEnables 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.345 npm1MIT
- AlicenseAqualityCmaintenanceEnables auditing, comparing, and optimizing websites for AI readiness, performance, SEO, AEO, GEO, and AI crawler accessibility.4MIT
- 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
- 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.15505 npmMIT

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AlicenseAqualityCmaintenanceLets any AI agent audit any website for SEO, GEO/AEO, and speed problems, reporting issues and recommendations without modifying the site.4MIT
SitePulsar MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceMeasures and improves how findable, readable, and usable a website is to AI answer engines and autonomous AI agents through hosted AEO audit tools.MIT
TDQS
Scored across 11 tools
Each tool names a distinct artifact or audit focus (head, JSON-LD, sitemap, robots, images, cache, palette, contrast). The only mild overlap is audit_surface versus audit_findability/audit_delivery, but the descriptions clearly differentiate a broad holistic audit from in-depth single-axis audits.
Tool names consistently follow a verb_noun pattern: generate_* for output serializers, audit_* for auditors, plus solve_palette and check_contrast. There is no mixed casing or vague verb style, making the naming pattern predictable and readable.
11 tools is well within the ideal scope for a web-correctness toolkit. Each generator and auditor addresses a distinct deliverable or audit pass, and none feels redundant or out of place.
The set covers core generation (head, structured data, sitemap, robots, images, cache) and auditing (surface, findability, delivery) plus color accessibility. The main gap is that index/noindex control is mentioned as living in the head, but no tool directly emits that meta robots directive.