iflow-mcp_cnych_seo-mcp

# 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](./README_CN.md) ## 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](https://dashboard.capsolver.com/passport/register?inviteCode=1dTH7WQSfHD0)) ### Install from PyPI ```bash pip install seo-mcp ``` Or use `uv`: ```bash uv pip install seo-mcp ``` ### Manual Installation 1. Clone the repository: ```bash git clone https://github.com/cnych/seo-mcp.git cd seo-mcp ``` 2. Install dependencies: ```bash pip install -e . # Or uv pip install -e . ``` 3. Set the CapSolver API key: ```bash 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: ```json { …