Site Audit MCP Server
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squirrelscanofficial
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TDQS
Scored across 7 tools
Most tools have clearly distinct audit targets: accessibility, tech stack, PageSpeed, page changes, and pay transparency. The two AI-related audits could be mildly confused because both inspect AI/SEO signals and robots.txt cues, but their descriptions distinguish structured-data readiness from crawler access.
The set mostly follows an action_noun pattern: audit_*, detect_*, monitor_*. Minor deviations appear in longer names like audit_schema_ai_readiness and audit_ai_crawler_access, and audit_pagespeed embeds a product name, but the convention remains readable.
Seven tools is well-scoped for a site-audit server: enough to cover multiple audit categories without overwhelming an agent. Each tool appears to earn its place as a distinct audit or monitoring capability.
The surface covers many important public-site audit areas: structured data/AI readiness, accessibility, tech stack, PageSpeed, AI crawler access, page-change monitoring, and pay-transparency screening. Some common site-audit checks are absent, such as general on-page SEO metadata, broken links, redirects, and security headers, but agents can work around these gaps for the core workflows shown.