iannuttall/seo

SEO for agent-native teams. Your agent gets your real Search Console, Google Analytics, Bing and crawl data through an MCP server and CLI, so it stops guessing.

What it solves

SEO Skill provides AI agents with direct, factual access to search performance data. It bridges the gap between LLMs and real-world SEO metrics by allowing agents to query Google Search Console, Bing Webmaster Tools, and analytics platforms, enabling data-driven analysis of search traffic, keyword performance, and technical site health.

How it works

The project functions as an MCP (Model Context Protocol) server and a CLI tool. It connects to your search and analytics accounts, allowing an AI agent to execute specific commands to fetch, compare, and analyze data. It provides raw, factual data—such as traffic drops, keyword rankings, and crawl results—without baking in subjective advice, ensuring the agent acts on verifiable evidence.

Who it’s for

It is designed for developers, SEO professionals, and site owners who want to automate search performance reporting and technical audits using AI agents like Claude or Cursor.

Highlights

  • Multi-Source Integration: Aggregates data from Google Search Console, Bing Webmaster Tools, Google Analytics, and Clicky.
  • Extensible Research: Supports integration with DataForSEO or Ahrefs API keys for advanced keyword, SERP, and backlink analysis.
  • Agent-Ready: Fully compatible with the Model Context Protocol (MCP), allowing seamless integration into modern AI coding assistants and agent frameworks.
  • Privacy-Focused: Designed to keep sensitive data local or encrypted, with no storage of report data or logs on the hosted server.
  • Technical Auditing: Includes built-in site crawling and internal link analysis capabilities for identifying technical SEO issues.

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