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    A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.
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    An MCP server and Chrome extension that allows users to select browser DOM elements via a keyboard shortcut to provide detailed technical context to AI coding tools. It captures HTML attributes, CSS styles, and React component metadata, enabling agents to analyze and modify web elements directly.
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    577
    MIT