MCP server for Ahrefs — enables Claude to interact with Ahrefs data and workflows.
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
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Slack
MCP server for Slack — enables Claude to interact with Slack data and workflows.
Gmail
MCP server for Gmail — enables Claude to interact with Gmail data and workflows.
Canva
MCP server for Canva — enables Claude to interact with Canva data and workflows.
HubSpot
MCP server for HubSpot — enables Claude to interact with HubSpot data and workflows.
Figma
MCP server for Figma — enables Claude to interact with Figma data and workflows.
Notion
MCP server for Notion — enables Claude to interact with Notion data and workflows.
We wired Ahrefs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Ahrefs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Ahrefs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Ahrefs is the kind of server we cite when onboarding engineers to host + tool permissions.
Ahrefs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Ahrefs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Ahrefs against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Ahrefs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Ahrefs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Ahrefs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Claude Desktop configuration
{
"mcpServers": {
"ahrefs": {
"type": "http",
"url": "https://api.ahrefs.com/mcp/mcp"
}
}
}Ahrefs MCP server for Claude integration. Enables AI assistants to interact with Ahrefs data and workflows.
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.
Add the following to your .mcp.json file to connect Claude to Ahrefs. No local installation required — this is a remote HTTP server.
README content is unavailable from source data for this server.
Open GitHub repository →Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.