Which integrations are available for this server?

Allows analysis of Google Search Console CSV export data for search performance insights. Provides performance analysis using Google Lighthouse, including Core Web Vitals, mobile and desktop scores, and additional metrics like INP and TTFB.

How do I use seo-gaca-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@seo-gaca-mcp run a technical SEO audit on example.com" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

seo-gaca-mcp

by gacabartosz

Overview Schema Related Servers Score Discussions

Python

Remote

seo-gaca-mcp

SEO GACA MCP — GEO · Audit · Crawl · Analyze

   ___   ___    ___         ___    ___    ___    ___
  / __| | __|  / _ \       / __|  /   \  / __|  /   \
  \__ \ | _|  | (_) |  _  | (_ | | - | | (__  | - |
  |___/ |___|  \___/  (_)  \___| |_|_|  \___|  |_|_|
         GEO · Audit · Crawl · Analyze

The most comprehensive SEO / Performance / GEO / UX MCP server.

37 tools in one MCP — technical SEO, Lighthouse performance (CWV + INP + TTFB), GEO (AI search optimization), content analysis, accessibility, security, UX audit, and more.

What It Does

Area	What GACA Measures
Performance	Lighthouse scores (mobile + desktop), Core Web Vitals: LCP, FCP, CLS, TBT, SI, TTI, INP, TTFB. Fallback basic timing when Lighthouse unavailable
Technical SEO	Meta tags, robots.txt, sitemap, crawlability, HTTP headers, canonical, hreflang
GEO	AI search optimization — Princeton 9 methods, AI crawler robots.txt, AI citation readiness, optimization checklist
Content	Readability (Flesch-Kincaid, Gunning Fog, FRE), keyword density, E-E-A-T signals, topic clusters
Schema	JSON-LD validation vs Google requirements, 10 templates, Rich Results eligibility
Security	SSL/TLS audit, 7+ security headers, mixed content detection
Links	BFS crawl + internal link graph, broken link scan
Accessibility	WCAG 2.2 Level AA, color contrast, tap targets, font size
UX	Navigation, search, semantic structure, responsive design, mobile menu, skip links
Competitors	Side-by-side comparison (up to 3 URLs) with optional Lighthouse benchmarking
International	Hreflang validation, local SEO, NAP extraction
Media	Image/video SEO audit, format detection
Reports	Structured JSON + branded PDF (EN/PL)

Related MCP server: mcp-seo-audit

Status

Alpha — 37 tools fully implemented. Contributions welcome!

Quick Start

# Install via pip
pip install seo-gaca-mcp

# Or via uv
uv pip install seo-gaca-mcp

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "gaca": {
      "command": "seo-gaca-mcp"
    }
  }
}

Usage with Claude Code

{
  "mcpServers": {
    "gaca": {
      "command": "uvx",
      "args": ["seo-gaca-mcp"]
    }
  }
}

Docker

docker build -t seo-gaca-mcp .
# Test via MCP stdio:
echo '...' | docker run -i seo-gaca-mcp

Tools Reference

Performance (1)

Tool	Description
`seo_check_performance`	Lighthouse scores + Core Web Vitals: LCP, FCP, CLS, TBT, SI, TTI, INP, TTFB (mobile + desktop)

Technical SEO (4)

Tool	Description
`seo_audit_technical`	Full 13-step SEO + UX audit with 11-category scoring (1-10)
`seo_check_meta`	Quick meta tags analysis
`seo_check_crawlability`	Robots.txt + sitemap validation
`seo_check_headers`	HTTP response headers check

GEO — AI Search Optimization (7)

Tool	Description
`seo_audit_geo`	Princeton 9 methods GEO audit
`seo_optimize_geo`	GEO optimization suggestions
`seo_check_ai_robots`	AI crawler robots.txt analysis (13 bots tracked)
`seo_generate_ai_robots`	Generate AI-optimized robots.txt
`seo_check_ai_visibility`	AI citation readiness check
`seo_get_geo_checklist`	GEO optimization checklist (P0/P1/P2)
`seo_get_seo_checklist`	Traditional SEO checklist (P0/P1/P2)

Content Analysis (3)

Tool	Description
`seo_analyze_content`	Readability (FK, Fog, FRE) + keyword density
`seo_check_eeat`	E-E-A-T signal detection
`seo_audit_topic_clusters`	Topic cluster structure analysis

Schema / Structured Data (3)

Tool	Description
`seo_validate_schema`	JSON-LD validation vs Google requirements
`seo_generate_schema`	Generate JSON-LD from 10 templates
`seo_check_rich_results`	Rich Result eligibility check

Security (2)

Tool	Description
`seo_audit_ssl`	Full SSL/TLS audit (cert chain, TLS versions, ciphers)
`seo_check_security_headers`	7+ security headers analysis

Links (2)

Tool	Description
`seo_audit_links`	BFS crawl + internal link graph analysis
`seo_check_broken_links`	Quick broken link scan

Accessibility (1)

Tool	Description
`seo_audit_accessibility`	WCAG 2.2 Level AA audit

International & Local (3)

Tool	Description
`seo_check_hreflang`	Hreflang validation + reciprocal link check
`seo_audit_local`	Local SEO + NAP extraction
`seo_audit_media`	Image/video SEO audit

Competitors (1)

Tool	Description
`seo_compare_competitors`	Side-by-side comparison (up to 3) with optional Lighthouse

Advanced (4)

Tool	Description
`seo_check_js_rendering`	SPA/JS rendering detection (React, Next.js, Vue, Angular, Nuxt)
`seo_analyze_logs`	Server access log analysis
`seo_analyze_gsc`	Google Search Console CSV data analysis
`seo_compare_audits`	Audit diff and historical trends

Reporting (1)

Tool	Description
`seo_generate_report`	Structured JSON report + branded PDF generation (EN/PL)

Utility (1)

Tool	Description
`seo_get_config`	Server status, feature availability, version info

GEO: AI Search Optimization

GEO (Generative Engine Optimization) helps your content get cited by AI search engines (ChatGPT, Perplexity, SGE, Claude, Copilot).

Based on Princeton research (arXiv:2311.09735, KDD 2024):

Method	Uplift	Description
Cite Sources	+40%	Authoritative references and citations
Statistics	+37%	Specific numbers, percentages, data
Quotations	+30%	Expert quotes with attribution
Authoritative Tone	+25%	Confident, expert language
Easy Language	+20%	Clear, accessible explanations
Technical Terms	+18%	Domain-specific vocabulary
Unique Words	+15%	Vocabulary diversity
Fluency	+15%	Natural flow, good structure
Keyword Stuffing	-10%	Actively avoid!

Performance Metrics

GACA measures all Core Web Vitals including the newest metrics:

Metric	Full Name	Good	Needs Improvement	Poor
LCP	Largest Contentful Paint	<2.5s	2.5–4.0s	>4.0s
INP	Interaction to Next Paint	<200ms	200–500ms	>500ms
CLS	Cumulative Layout Shift	<0.1	0.1–0.25	>0.25
FCP	First Contentful Paint	<1.8s	1.8–3.0s	>3.0s
TTFB	Time to First Byte	<800ms	800–1800ms	>1800ms
TBT	Total Blocking Time	<200ms	200–600ms	>600ms
SI	Speed Index	<3.4s	3.4–5.8s	>5.8s
TTI	Time to Interactive	<3.8s	3.8–7.3s	>7.3s

Configuration

# Optional: Lighthouse timeout (default: 120s)
export GACA_LIGHTHOUSE_TIMEOUT=120

License

MIT License — Bartosz Gaca

Built with MCP (Model Context Protocol) by Anthropic.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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