io.github.AutomateLab-tech/seo-performance-mcp — Model Context Protocol (MCP) Server
This MCP server provides per-URL SEO verdicts aggregated from Google Search Console (GSC), GA4, Matomo, Clarity, and AI citation inputs. Its described purpose is to refresh, expand, merge, or kill SEO elements based on those signals, using a Model Context Protocol interface.
🛠️ Key Features
- Per-URL SEO verdicts
- Inputs from GSC, GA4, Matomo, and Clarity
- AI citations support
- Refresh/expand/merge/kill workflow
🚀 Use Cases
- Route SEO actions per specific URL based on analytics and search performance
- Compare and reconcile findings across multiple tracking sources (GSC, GA4, Matomo, Clarity)
- Manage SEO content decisions such as refresh, expand, merge, or removal
⚡ Developer Benefits
- Standardized MCP integration via Model Context Protocol
- Tooling aligned with TypeScript-oriented ecosystem and SEO tooling keywords
- Explicit support for geo and citation-driven SEO decisions
⚠️ Limitations
- Capabilities are limited to producing per-URL SEO verdicts using the listed source signals and citation inputs