Backlinks (Ahrefs)
About
Retrieves detailed backlink data from Ahrefs including anchor text, domain rating, and URL information for SEO analysis and link building strategies.
Details
- Author
- cnych
- Repository
- cnych/seo-mcp
- GitHub stars
- 5
- Downloads
- 1,835
- License
- MIT License
- Categories
- AI, Design, File Management, Search, Infrastructure, Knowledge Base, Frontend
- Tags
- #web
Jump to
- π Backlink Analysis
- Get detailed backlink data for any domain
- View domain rating, anchor text, and link attributes
- Filter educational and government domains
- π― Keyword Research
- Generate keyword ideas from a seed keyword
- Get keyword difficulty score
- View search volume and trends
- π Traffic Analysis
- Estimate website traffic
- View traffic history and trends
- Analyze popular pages and country distribution
- Track keyword rankings
- π Performance Optimization
- Use CapSolver to automatically solve CAPTCHA
- Response caching
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Backlinks (Ahrefs)Command (node, npx, python, etc.)uvxArguments-
Argument 1
--python -
Argument 2
3.10 -
Argument 3
seo-mcp
Environment-
CAPSOLVER_API_KEY
CAP-xxxxxx
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
pip install seo-mcp
Or use uv:
uv pip install seo-mcp
1. Clone the repository:
git clone https://github.com/cnych/seo-mcp.git
cd seo-mcp
2. Install dependencies:
```bash
pip install -e .
get_backlinks_list
Get the backlinks of a domain. Parameters: domain (string): The domain to analyze (e.g. 'example.com')
keyword_generator
Generate keyword ideas. Parameters: keyword (string): The seed keyword, country (string): Country code (default: 'us'), search_engine (string): Search engine (default: 'Google')
get_traffic
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')
keyword_difficulty
Get the keyword difficulty score. Parameters: keyword (string): The keyword to analyze, country (string): Country code (default: 'us')
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"backlinks (ahrefs)": {
"env": {
"CAPSOLVER_API_KEY": "CAP-xxxxxx"
},
"args": [
"--python",
"3.10",
"seo-mcp"
],
"command": "uvx"
}
}
}
Linux
{
"env": {
"CAPSOLVER_API_KEY": "CAP-xxxxxx"
},
"args": [
"--python",
"3.10",
"seo-mcp"
],
"command": "uvx"
}
Macos
{
"env": {
"CAPSOLVER_API_KEY": "CAP-xxxxxx"
},
"args": [
"--python",
"3.10",
"seo-mcp"
],
"command": "uvx"
}
Windows
{
"env": {
"CAPSOLVER_API_KEY": "CAP-xxxxxx"
},
"args": [
"--python",
"3.10",
"seo-mcp"
],
"command": "uvx"
}
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.
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 @ε₯ι£η€ΎηΎ€.
Features
- π Backlink Analysis
- Get detailed backlink data for any domain
- View domain rating, anchor text, and link attributes
- Filter educational and government domains
- π― Keyword Research
- Generate keyword ideas from a seed keyword
- Get keyword difficulty score
- View search volume and trends
- π Traffic Analysis
- Estimate website traffic
- View traffic history and trends
- Analyze popular pages and country distribution
- Track keyword rankings
- π 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 errorοΌCheck the CAPSOLVER_API_KEY environment variable
- Rate limitingοΌReduce request frequency
- No resultsοΌThe domain may not be indexed by Ahrefs
- Other issuesοΌSee GitHub repository
License
MIT License - See LICENSE file
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