All-In-One-Free-SEO-Tool: Free SEO tool — open-source, self-hosted alternative to Ahrefs, Semrush & Moz

by IamRamgarhia · MCP Server · ★ 76

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

How to install All-In-One-Free-SEO-Tool

git clone https://github.com/IamRamgarhia/All-In-One-Free-SEO-Tool.git && cd All-In-One-Free-SEO-Tool

Taken from the project's README on GitHub. Check the security audit before running it.

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.

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Quick Facts

Stars76
Forks25
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score63/100
Open Issues1
Last Updated2026-10-22
Created2026-05-02
Platformsgemini, mcp, node
Est. Tokens~23k

About All-In-One-Free-SEO-Tool

All-In-One Free SEO Tool — Open-Source Alternative to Ahrefs, Semrush, Moz & SE Ranking 🚀 The complete free SEO platform. 99 dedicated tools: site audits, rank tracking, keyword research, AI search visibility (ChatGPT · Perplexity · Gemini · AI Overviews), content briefs, backlinks, local SEO, white-label client reports, automations — all in one self-hosted app.

Compatible Skills

These tools work well together with All-In-One-Free-SEO-Tool for enhanced workflows:

  • on-page-seo — semantic(0.59)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)

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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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