A professional-grade SEO integration that connects Ahrefs data to your AI agent via the Model Context Protocol.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ahrefs-mcp
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ahrefs-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Ahrefs MCP skill is a robust technical bridge that allows AI agents to interact directly with the Ahrefs SEO database. By implementing this within the framework of Openclaw Skills, developers and marketers can automate complex SEO tasks such as domain analysis, backlink auditing, and keyword exploration. It leverages the Model Context Protocol to provide a standardized way for LLMs to query live search engine data and site metrics.
This skill is essential for anyone looking to build data-driven marketing agents or automated SEO reporting tools. By using Openclaw Skills like this one, users can move beyond static data and interact with real-time web performance metrics, competitive intelligence, and technical site health data through a simple natural language interface.
To integrate this into your environment of Openclaw Skills, follow these steps:
https://api.ahrefs.com/mcp/mcp
The skill organizes data based on the primary Ahrefs toolsets. Data is returned in structured formats that the agent can interpret and tabulate.
| Tool | Primary Data Points |
|---|---|
| Site Explorer | DR, UR, Backlinks, Referring Domains, Organic Keywords |
| Keywords Explorer | Search Volume, Difficulty (KD), CPC, SERP Analysis |
| Rank Tracker | Visibility Score, Average Position, Position Distribution |
| Site Audit | Health Score, Crawled Pages, Issues by Severity |
Loading
A comprehensive SEO toolkit for AI agents to access real-time Ahrefs data for keywords, backlinks, and site audits.

A smart monitoring tool that tracks TestFlight beta availability and alerts you only when new slots become available.

A specialized developer tool designed to automate the creation and standardization of provider wrapper skills built on the uxc execution contract.

A powerful skill for retrieving up-to-date, version-specific documentation and code examples for any programming library or framework.

A self-regulating, learned memory graph that enables AI agents to evolve through autonomous feedback and policy-gradient routing.

A diagnostic tool for evaluating the accuracy and retrieval quality of RAG pipelines using Ragas metrics.








































