Skip to main content
Glama
SEO MCP

SEO MCP

by fastmcp-me

Add to Cursor Add to VS Code Add to Claude Add to ChatGPT Add to Codex Add to Gemini

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.

Related MCP server: seo-mcp

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 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

Available Tools

4 tools
get_trafficC
Check the estimated search traffic for any website. 

Args:
    domain_or_url (str): The domain or URL to query
    country (str): The country to query, default is "None"
    mode (["subdomains", "exact"]): The mode to use for the query
Returns:
    Traffic data for the specified domain or URL

Inputs: domain_or_url (required), country, mode.

keyword_difficultyC

Get keyword difficulty for the specified keyword

Inputs: keyword (required), country.

keyword_generatorC

Get keyword ideas for the specified keyword

Inputs: keyword (required), country, search_engine.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.1/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool addresses a distinct SEO function: backlinks, traffic, keyword difficulty, and keyword generation. There is no overlap in purpose.

    Naming Consistency3/5

    Two tools use the 'get_' prefix (get_backlinks_list, get_traffic) while two do not (keyword_difficulty, keyword_generator). This inconsistency in naming pattern could confuse an agent.

    Tool Count4/5

    With 4 tools, the set is appropriately scoped for basic SEO tasks. It is not too small or too large for the domain.

    Completeness3/5

    Core SEO operations are covered (backlinks, traffic, keywords), but lacks features like rank tracking, site audit, or competitive analysis, leaving notable gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      B
      quality
      D
      maintenance
      MCP server providing tools to access Semrush API data for domain analytics, keyword research, backlink analysis, and traffic analytics.
      19
      71 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      An SEO MCP server providing free SEO tools including on-page audits, broken link checks, sitemap analysis, and keyword ideas via Google Suggest, all without requiring an API key.
      10
      31 npm
      6
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      An MCP server providing 20 SEO tools including coverage reports, supporting both stdio and HTTP modes for data-driven SEO analysis.
      20
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides SEO analysis tools including backlink analysis, keyword research, and traffic estimation using Ahrefs data, with CAPTCHA solving and caching.
      MIT