🔍 SEO-Auditor MCP Server

High-performance Model Context Protocol (MCP) Server & CLI for 360° Technical SEO, Schema.org Validation, AEO (AI Engine Optimization), and Semantic Cannibalization Detection.

Built for Claude Desktop, Cursor, and Autonomous AI Coding Agents to execute instant technical audits on any web property directly from natural language prompts.

⚡ Key Features

• 🎯 360° Technical SEO Audit: Audits titles, meta descriptions, canonical URLs, robots meta tags, OpenGraph & Twitter Cards.

• 🏗️ Content & Heading Hierarchy: Validates H1-H6 semantic nesting, detects missing/multiple H1s, and flags broken hierarchy.

• 🤖 AEO / GEO Readiness Analyzer: Scans robots.txt for AI search crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) to ensure AI search visibility.

• 📐 JSON-LD Schema Validator: Recursively parses and validates Schema.org entities (Article, Product, Organization, LocalBusiness, FAQPage) and reports missing required properties.

• ⚔️ Semantic Cannibalization Matrix: Detects cross-URL keyword cannibalization where multiple pages compete for identical search intent.

• 🗺️ Recursive XML Sitemap Parser: Crawls sitemap indexes and nested XML sitemaps to perform batch audits.

• 💻 Dual DX: Works as an MCP Stdio Server for LLMs AND as a Standalone CLI tool for humans.

Related MCP server: SEO Audit MCP

🚀 Quickstart

1. Installation

git clone https://github.com/klok123/seo-auditor-mcp.git
cd seo-auditor-mcp
pip install -r requirements.txt

2. Connect to Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "seo-auditor": {
      "command": "python",
      "args": ["-m", "seo_auditor_mcp.server"],
      "env": {}
    }
  }
}

Now inside Claude Desktop, you can ask:

"Audit https://mybrand.com and generate a client-ready Technical SEO report."
"Check if our robots.txt blocks AI search bots like Perplexity or Claude."
"Inspect the JSON-LD schema on https://mybrand.com/pricing for validation errors."

3. Standalone CLI Usage

Run audits directly in your terminal:

# 1. Full 360 Technical SEO Audit
python -m seo_auditor_mcp.cli audit https://mybrand.com

# 2. AI Search (AEO) Bot Inspection
python -m seo_auditor_mcp.cli aeo https://mybrand.com

# 3. JSON-LD Schema Validation
python -m seo_auditor_mcp.cli schema https://mybrand.com

# 4. XML Sitemap Batch Crawl
python -m seo_auditor_mcp.cli sitemap https://mybrand.com/sitemap.xml --max 10

# 5. Output raw JSON for pipeline integrations
python -m seo_auditor_mcp.cli audit https://mybrand.com --format json

📊 Sample CLI Output

============================================================
[REPORT] TECHNICAL SEO AUDIT: https://example.com/saas-guide
Health Score: 90/100 | Crawl Time: 142.3ms
============================================================

* Title: The Definitive SaaS Technical SEO Guide for 2026 (54 chars)
* Description: Master modern technical SEO, crawl budget, and schema optimization. (72 chars)
   [!] Description is too short (72 chars). Optimal: 110-160 chars.

* Canonical: https://example.com/saas-guide (Self-referential: True)
* Headings: H1: 1 | H2: 4 | H3: 8
* Schema Entities: Article, Organization, BreadcrumbList

[ACTION ITEMS]
   [-] Expand meta description length to 110-160 characters.
============================================================

🧪 Testing

Run the full automated test suite:

python -m unittest discover tests

👤 Author

Mohit Yadav
AI-Native Technical SEO & Agentic Workflow Architect

• LinkedIn Profile

• GitHub Profile

📄 License

MIT License © 2026 Mohit Yadav. Open for commercial and personal use.