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sparrow84001/mcp-seo

by Various

mcp-seo is an AI-powered SEO and growth audit MCP server for modern web projects. It analyzes technical, on-page, AEO, GEO, local, and conversion issues, then generates safe, frame

MCP

sparrow84001/mcp-seo

Added 13 Sept 2026

#aeo-optimization #aeo-ready #digital-marketing-analytics #digital-marketing-research #digital-marketing-tools #geo #mcp-server #mcp-tools

Overview

mcp-seo is an MCP server that audits technical, on-page, AEO, GEO, local, and conversion issues for web projects. It generates framework-aware code fixes intended to improve visibility, performance, and business results. The server is written in TypeScript.

Best for

Best for
Developers who want automated SEO audits and code fixes inside an MCP-compatible assistant.

Use cases

  • Run technical SEO audits on a web project
  • Generate on-page and conversion issue fixes
  • Identify AEO, GEO, and local search opportunities

How to use

Install

npx @sparrow84001/mcp-seo

Tools exposed

  • seo_discover_project
  • seo_crawl_and_extract
  • seo_audit_technical
  • seo_audit_onpage
  • seo_audit_aeo
  • seo_audit_geo
  • seo_audit_local
  • seo_audit_content
  • seo_audit_conversion
  • seo_audit_performance
  • seo_audit_schema
  • seo_audit_internal_links
  • seo_generate_full_audit
  • seo_generate_marketing_strategy
  • seo_suggest_related_ecosystem
  • seo_test_web_mcp
  • seo_audit_sitemap_multipage
  • seo_audit_robots_and_sitemap
  • seo_generate_sitemap_and_robots
  • seo_generate_code_fix

Tested with

Claude Desktop, Cursor, Windsurf, ChatGPT

Notes

mcp-seo is an MCP server that audits technical, on-page, AEO, GEO, local, and conversion issues for web projects. It generates framework-aware code fixes intended to improve visibility, performance, and business results. The server is written in TypeScript.

0 stars on GitHub. Last updated 2026-09-07. Licensed MIT.

Use cases

  • Run technical SEO audits on a web project
  • Generate on-page and conversion issue fixes
  • Identify AEO, GEO, and local search opportunities

Pros

  • Covers a broad range of audit categories from technical to local and conversion
  • Produces framework-aware code fixes rather than generic recommendations
  • Integrates with MCP-compatible AI assistants for automated workflows

Cons

  • No public stars or adoption evidence yet on GitHub
  • Fix quality depends on the underlying AI model and project context
  • Generated changes likely need manual review before deployment

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers a broad range of audit categories from technical to local and conversion
  • Produces framework-aware code fixes rather than generic recommendations
  • Integrates with MCP-compatible AI assistants for automated workflows

Cons

  • No public stars or adoption evidence yet on GitHub
  • Fix quality depends on the underlying AI model and project context
  • Generated changes likely need manual review before deployment
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