Ahrefs
by Ahrefs
MCP server for Ahrefs — enables Claude to interact with Ahrefs data and workflows.
What it does
Ahrefs MCP server for Claude integration. Enables AI assistants to interact with Ahrefs data and workflows.
About
Ahrefs is an official MCP server included in Anthropic's knowledge-work-plugins repository. It enables Claude to interact with Ahrefs through the Model Context Protocol. Protocol: HTTP. Endpoint: https://api.ahrefs.com/mcp/mcp. Used in plugins: marketing.
How to install
Add the following to your .mcp.json file to connect Claude to Ahrefs. No local installation required — this is a remote HTTP server.
License
Proprietary
Ahrefs is a proprietary service. Usage is subject to Ahrefs's terms of service.
Readme
README content is unavailable from source data for this server.
Open GitHub repository →Frequently Asked Questions
- What is the Ahrefs MCP server?
- Ahrefs is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Ahrefs?
- This profile displays 40 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures — taught by practitioners.
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.4★★★★★40 reviews- ★★★★★Noor Nasser· Dec 24, 2024
We wired Ahrefs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Xiao Brown· Dec 20, 2024
According to our notes, Ahrefs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Xiao Garcia· Nov 15, 2024
Ahrefs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Daniel Sharma· Nov 11, 2024
Useful MCP listing: Ahrefs is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Xiao Johnson· Oct 6, 2024
Ahrefs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aditi Zhang· Oct 2, 2024
Strong directory entry: Ahrefs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Rahul Santra· Sep 25, 2024
We evaluated Ahrefs against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Sophia Lopez· Sep 25, 2024
Strong directory entry: Ahrefs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Noor Lopez· Sep 21, 2024
Ahrefs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Noor Farah· Sep 9, 2024
We wired Ahrefs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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