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.336 npm1MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to run evidence-first technical SEO and GEO audits, inspect HTML, structured data, robots policies and sitemaps, and compare before/after reports to verify fixes.51MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to scan pages and whole sites for SEO and AI-search visibility, generate ready-to-paste fixes and validated structured data, and verify HTML before deploy and live results after — all through stable issue codes so an agent can fix problems one by one and prove they are gone.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to audit a web page in one call — title, meta description, canonical, robots, Open Graph, headings, JSON-LD, security headers and page delivery — returning each finding with its evidence and a ready patch to apply. It also compares a deploy preview against production to surface only regressions, keeps audited pages in tabs with history and daily watches, and runs Lighthouse lab tests via PageSpeed Insights.MIT No Attribution
- 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.2MIT
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.