A free SEO tool MCP (Model Control Protocol) service based on Ahrefs data. Includes features such as backlinks, keyword ideas, and more.
Listed on its own since 2026-09-25. Until then it was part of iflow-mcp-cnych-seo-mcp, where its earlier checks remain.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-seo-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# 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 { …
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