AutoRank MCP is an open-source Model Context Protocol server that gives AI agents tools for technical SEO analysis. It checks structured data, meta tags, robots directives, and search-engine results without requiring an API key, and is intended for developers integrating SEO capabilities into agent workflows.
In the SEO audit & analysis space, AutoRank MCP takes a focused approach. It focuses on automating technical SEO checks and structured website analysis for AI agents. It is built as an open-source project for developers building AI agents and SEO automation workflows. The project is open source (Open Source). It runs on the web, the command line, and API, and it can be self-hosted.
It is developed by Ryan Kramer. Key capabilities include structured data checks, meta tag analysis, and robots directives. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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