avansaber/seo-monster

What it solves

SEOMonster eliminates the need to manually navigate complex SEO dashboards. It allows users to perform deep SEO analysis, content planning, and technical audits by asking questions in plain English through an AI assistant (like Claude, Cursor, or VS Code) instead of manually exporting and analyzing data from multiple platforms.

How it works

It operates as a Model Context Protocol (MCP) server. When a user asks a question in their AI assistant, the assistant calls SEOMonster, which then uses the user's own credentials to fetch data from services like Google Search Console, GA4, PageSpeed Insights, and Cloudflare. The server returns a consistent JSON response that the AI assistant translates back into a natural language answer.

Who it’s for

SEO professionals, content strategists, and website owners who already use AI assistants and want to integrate their first-party search and analytics data directly into their chat workflow.

Highlights

• 70 integrated tools covering Search Console, GA4, PageSpeed, Cloudflare, and AI citation tracking.
• Privacy-first architecture: All data is processed on the user's machine using their own credentials; no data is sent to a third party.
• Data-driven content opportunities: Identifies "striking distance" keywords (positions 8-20) and calculates opportunity scores based on demand and momentum.
• AI-citation tracking: Monitors brand share-of-voice across AI answer engines like Perplexity, OpenAI, and Gemini.
• Safe write operations: Destructive actions (like Cloudflare cache purges or redirects) are gated behind specific environment variables and confirmation tokens.