Backlinks (Ahrefs)

Backlinks (Ahrefs)

cnych

Retrieves detailed backlink data from Ahrefs including anchor text, domain ratings, and URL information for SEO analysis. Includes automated CAPTCHA solving and caching for performance.

Retrieves detailed backlink data from Ahrefs including anchor text, domain rating, and URL information for SEO analysis and link building strategies.

224599 views34Local (stdio)

What it does

  • Analyze backlinks for any domain
  • Research keywords with difficulty scores
  • Estimate website traffic and trends
  • Filter educational and government backlinks
  • Track keyword rankings
  • Generate keyword ideas from seed terms

Best for

SEO professionals analyzing competitor backlinksDigital marketers researching keywordsWebsite owners tracking traffic performanceLink building strategy development
Automated CAPTCHA solvingResponse caching for performanceEducational purposes only

About Backlinks (Ahrefs)

Backlinks (Ahrefs) is a community-built MCP server published by cnych that provides AI assistants with tools and capabilities via the Model Context Protocol. Use Backlinks (Ahrefs) for detailed SEO analysis. Check website backlinks, anchor text, domain rating & more with this b It is categorized under developer tools, analytics data.

How to install

You can install Backlinks (Ahrefs) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Backlinks (Ahrefs) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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

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