Umami Analytics has an MCP now (umamiengine.com)

Umami Analytics has introduced a significant feature by enabling direct connections between its platform and AI tools through the Model Context Protocol (MCP). This integration allows users to interact with their website analytics using natural language queries, eliminating the need to manually access the analytics dashboard. Users can ask questions like traffic statistics, page performance, and conversion rates, thus streamlining data analysis activities for marketers and businesses. This development is noteworthy for the AI/ML community as it enhances the capabilities of AI agents to provide insights from complex data systems while maintaining stringent security measures. The MCP serves as a read-only interface that utilizes the existing Umami Cloud API, ensuring that data permission settings remain intact and safe from unauthorized access. By allowing AI agents to query a comprehensive set of analytics tools—including visitor tracking, event monitoring, and performance benchmarks—Umami Analytics empowers users to derive deeper insights and make data-driven decisions easily. This represents a significant step toward unobtrusive, intuitive data analysis powered by AI, making analytics more accessible for non-technical users.