seo-mcp: A free SEO tool MCP (Model Control Protocol) service based on Ahrefs data

by cnych · MCP Server · ★ 260

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

How to install seo-mcp

pip install seo-mcp
uv pip install seo-mcp

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

Security audit verdict: SAFE · quality 79/100

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.

Quick Facts

Stars260
Forks43
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score79/100
Open Issues4
Last Updated2025-04-14
Created2025-04-12
Platformsmcp, python
Est. Tokens~14k

About seo-mcp

SEO MCP A MCP (Model Control Protocol) SEO tool service based on Ahrefs data. Includes features such as backlink analysis, keyword research, traffic estimation, and more. 中文 Overview This service provides an API to retrieve SEO data from Ahrefs. It handles the entire process, including solving the CAPTCHA, authentication, and data retrieval.

Compatible Skills

These tools work well together with seo-mcp for enhanced workflows:

  • open-seo-advisor-skill — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • backlink_skills — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • dataforseo-skill-claude — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • beyondseo — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • 7deer_skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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