seo-mcp

MCP.Pizza Chef: cnych

seo-mcp is a free MCP server that delivers comprehensive SEO data using Ahrefs. It offers backlink analysis, keyword research, and traffic estimation features. The server manages CAPTCHA solving, authentication, and data caching to optimize performance and reduce costs. Ideal for developers needing structured SEO insights integrated into AI workflows.

Use This MCP server To

Retrieve detailed backlink data for any domain Generate keyword ideas and analyze keyword difficulty Estimate and analyze website traffic trends Filter backlinks by domain type such as educational or government Integrate SEO data into AI-driven marketing tools Cache SEO queries to reduce API costs and improve response time

README

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. The results are cached to improve performance and reduce API costs.

This MCP service is for educational purposes only. Please do not misuse it. This project is inspired by @哥飞社群.

Features

  • 🔍 Backlink Analysis

    • Get detailed backlink data for any domain
    • View domain rating, anchor text, and link attributes
    • Filter educational and government domains
  • 🎯 Keyword Research

    • Generate keyword ideas from a seed keyword
    • Get keyword difficulty score
    • View search volume and trends
  • 📊 Traffic Analysis

    • Estimate website traffic
    • View traffic history and trends
    • Analyze popular pages and country distribution
    • Track keyword rankings
  • 🚀 Performance Optimization

    • Use CapSolver to automatically solve CAPTCHA
    • Response caching

Installation

Prerequisites

  • Python 3.10 or higher
  • CapSolver account and API key (register here)

Install from PyPI

pip install seo-mcp

Or use uv:

uv pip install seo-mcp

Manual Installation

  1. Clone the repository:

    git clone https://github.com/cnych/seo-mcp.git
    cd seo-mcp
  2. Install dependencies:

    pip install -e .
    # Or
    uv pip install -e .
  3. Set the CapSolver API key:

    export CAPSOLVER_API_KEY="your-capsolver-api-key"

Usage

Run the service

You can run the service in the following ways:

Use in Cursor IDE

In the Cursor settings, switch to the MCP tab, click the +Add new global MCP server button, and then input:

{
  "mcpServers": {
    "SEO MCP": {
      "command": "uvx",
      "args": ["--python", "3.10", "seo-mcp"],
      "env": {
        "CAPSOLVER_API_KEY": "CAP-xxxxxx"
      }
    }
  }
}

You can also create a .cursor/mcp.json file in the project root directory, with the same content.

API Reference

The service provides the following MCP tools:

get_backlinks_list(domain: str)

Get the backlinks of a domain.

Parameters:

  • domain (string): The domain to analyze (e.g. "example.com")

Returns:

{
  "overview": {
    "domainRating": 76,
    "backlinks": 1500,
    "refDomains": 300
  },
  "backlinks": [
    {
      "anchor": "Example link",
      "domainRating": 76,
      "title": "Page title",
      "urlFrom": "https://referringsite.com/page",
      "urlTo": "https://example.com/page",
      "edu": false,
      "gov": false
    }
  ]
}

keyword_generator(keyword: str, country: str = "us", search_engine: str = "Google")

Generate keyword ideas.

Parameters:

  • keyword (string): The seed keyword
  • country (string): Country code (default: "us")
  • search_engine (string): Search engine (default: "Google")

Returns:

[
  {
    "keyword": "Example keyword",
    "volume": 1000,
    "difficulty": 45,
    "cpc": 2.5
  }
]

get_traffic(domain_or_url: str, country: str = "None", mode: str = "subdomains")

Get the traffic estimation.

Parameters:

  • domain_or_url (string): The domain or URL to analyze
  • country (string): Country filter (default: "None")
  • mode (string): Analysis mode ("subdomains" or "exact")

Returns:

{
  "traffic_history": [...],
  "traffic": {
    "trafficMonthlyAvg": 50000,
    "costMontlyAvg": 25000
  },
  "top_pages": [...],
  "top_countries": [...],
  "top_keywords": [...]
}

keyword_difficulty(keyword: str, country: str = "us")

Get the keyword difficulty score.

Parameters:

  • keyword (string): The keyword to analyze
  • country (string): Country code (default: "us")

Returns:

{
  "difficulty": 45,
  "serp": [...],
  "related": [...]
}

Development

For development:

git clone https://github.com/cnych/seo-mcp.git
cd seo-mcp
uv sync

How it works

  1. The user sends a request through MCP
  2. The service uses CapSolver to solve the Cloudflare Turnstile CAPTCHA
  3. The service gets the authentication token from Ahrefs
  4. The service retrieves the requested SEO data
  5. The service processes and returns the formatted results

Troubleshooting

  • CapSolver API key error:Check the CAPSOLVER_API_KEY environment variable
  • Rate limiting:Reduce request frequency
  • No results:The domain may not be indexed by Ahrefs
  • Other issues:See GitHub repository

License

MIT License - See LICENSE file

seo-mcp FAQ

How does seo-mcp handle CAPTCHA challenges?
seo-mcp automatically solves CAPTCHA during data retrieval to ensure uninterrupted access to Ahrefs data.
Is authentication required to use seo-mcp?
Yes, seo-mcp manages authentication internally to securely access Ahrefs SEO data.
Does seo-mcp cache data?
Yes, it caches results to improve performance and reduce API usage costs.
Can seo-mcp filter backlinks by domain type?
Yes, it supports filtering backlinks by educational, government, and other domain categories.
What SEO metrics does seo-mcp provide?
It provides backlink details, domain rating, keyword difficulty, search volume, traffic estimates, and trends.
Is seo-mcp suitable for production use?
seo-mcp is primarily for educational purposes; users should avoid misuse and consider API limits.
Which LLM providers can integrate with seo-mcp?
seo-mcp can be integrated with OpenAI, Anthropic Claude, and Google Gemini for enhanced SEO workflows.
How does seo-mcp improve SEO data retrieval efficiency?
By handling CAPTCHA, authentication, and caching, it streamlines and speeds up SEO data access.