seo-audit: Free SEO Audit MCP server for Claude - captures and stores all the raw data you need for a complete technical

by houtini-ai · MCP Server · ★ 57

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-seobacklink-analysisclaudecrawlerdataforseogoogle-search-consolekeyword-researchmcpmcp-servermodel-context-protocol

Quick Facts

Stars57
Forks3
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score63/100
Open Issues1
Last Updated2026-10-17
Created2026-07-20
Platformsclaude-code, mcp, node
Est. Tokens~22k

About seo-audit

SEO Audit Console - the technical SEO audit MCP server for Claude A technical SEO audit you can hold a conversation with - built from your own Search Console data and a live crawl of your site, run inside Claude. Almost every technical SEO audit I've been handed in twenty years is a crawler's opinion, and a crawler only ever sees half the picture. It tells you what your site says.

seo-audit alternative? Top 6 similar tools

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    Open-source Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) toolkit — optimize content

  • dataseo-mcp by egebese · ⭐ 193

    A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, key

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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