What is Seo Mcp

seo-mcp is a free SEO tool service based on Ahrefs data, providing functionalities such as backlink analysis and keyword suggestions.

Use cases

Use cases for seo-mcp include analyzing competitors’ backlinks, generating keyword ideas for content strategies, and automating SEO data retrieval for reporting.

How to use

To use seo-mcp, install it via PyPI or manually clone the repository, set up your CapSolver API key, and run the service using the provided commands.

Key features

Key features include backlink retrieval, keyword idea generation, automatic captcha solving, signature caching, fast data retrieval, and simplified output for relevant SEO information.

Where to use

seo-mcp can be utilized in digital marketing, SEO analysis, content creation, and web development to enhance website visibility and performance.

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:

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:

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