advanced-seo-mcp

advanced-seo-mcp

Provides AI agents with professional-grade SEO capabilities including on-page analysis, technical audits, PageSpeed insights, and Ahrefs data integration.

Category
Visit Server

README

🚀 Advanced SEO MCP Server

<div align="center">

Python Version License Status MCP

Powering AI Agents with Advanced SEO Intelligence

</div>

📖 Overview

Advanced SEO MCP is a robust Model Context Protocol (MCP) server designed to equip AI agents with professional-grade SEO capabilities. It combines On-Page analysis, Technical Audits, Google PageSpeed Insights, and Ahrefs Data (via CapSolver) into a unified interface.


🚀 Installation

Option 1: One-Command Install (Recommended)

If you have uv installed, you can install this extension directly with Gemini CLI. uv handles all Python dependencies automatically.

gemini extensions install https://github.com/halilertekin/advanced-seo-mcp

Note: You will need to configure your API keys in the .env file inside the extension directory after installation.

Option 2: Manual Developer Setup

If you want to modify the code or don't use uv, follow these steps:

  1. Clone the repository:

    git clone https://github.com/halilertekin/advanced-seo-mcp.git
    cd advanced-seo-mcp
    
  2. Create virtual environment & Install:

    python3 -m venv .venv
    source .venv/bin/activate  # Windows: .venv\Scripts\activate
    pip install -e .
    
  3. Setup Configuration: Run the setup script to generate the local configuration:

    python setup_extension.py
    
  4. Link to Gemini:

    ln -s $(pwd) ~/.gemini/extensions/advanced-seo-mcp
    

🔑 Configuration

This server requires API keys for full functionality.

  1. Create a .env file in the project root (or rename .env.example):

    cp .env.example .env
    
  2. Add your API keys:

    # Required for Ahrefs Tools (Backlinks, Keywords, Traffic)
    # Get key: https://dashboard.capsolver.com/
    CAPSOLVER_API_KEY="your_capsolver_key"
    
    # Required for PageSpeed Insights
    # Get key: https://developers.google.com/speed/docs/insights/v5/get-started
    GOOGLE_PSI_API_KEY="your_google_psi_key"
    

🛠️ Management & Execution

A handy skills.sh script is included for easy management of the MCP server.

Make the script executable:

chmod +x skills.sh

Available Commands:

  • ./skills.sh install - Installs project dependencies using uv.
  • ./skills.sh update - Compiles and upgrades dependencies.
  • ./skills.sh audit - Runs a Python security audit (pip-audit).
  • ./skills.sh run - Runs the advanced-seo MCP server.

📚 Tools Reference

Tool Description
generate_audit_report Best! Generates a full Markdown SEO report combining all metrics.
onpage_audit Analyzes content structure, meta tags, and density.
analyze_page_speed Google PageSpeed Insights analysis (Mobile/Desktop).
check_schema_markup Validates JSON-LD Schema implementation.
check_broken_links_on_page Scans page for broken (404) internal/external links.
compare_competitors Compares Backlinks/Traffic/DR of 2 domains.
bulk_sitemap_audit Scans sitemap and performs quick audit on multiple pages.
get_backlinks Retrieves Domain Rating & Top Backlinks (Ahrefs Data).
keyword_ideas Generates keyword ideas & questions (Ahrefs Data).

📝 License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured