DS4AI MCP
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents to crawl live websites, audit AEO readiness, generate Schema.org @graph JSON-LD, llms.txt, ai.txt, and robots.txt, inject structured data into HTML, validate optimizations, and retrieve framework-specific code snippets.MIT
- 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.357 npm1MIT
- AlicenseNot gradedqualityAmaintenanceExposes website auditing, finding retrieval, and safe fix application as MCP tools so AI agents can diagnose and remediate SEO, accessibility, and technical web issues.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants and coding agents to audit, compare, and optimize websites for performance, SEO, AEO, GEO, and AI crawler accessibility directly from chat or development workflows.MIT
- 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
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.