Execute and test TypeScript code in a sandboxed environment to manage Kubernetes clusters. Cache scripts for reuse, stream output, and validate with integrated tests.
Retrieve etcd pod logs from Kubernetes/OpenShift clusters with time-based filtering, line limits, and real-time streaming capabilities for troubleshooting.
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.
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.