Elevator pitch Query and debug Kubernetes clusters using natural language through any AI tool via MCP.
Industry DevOps / Cloud Infrastructure
Problem
- kubectl commands require deep expertise and context switching.
- Debugging cluster issues is time-consuming without real-time visibility.
Solution
- Natural language interface to inspect pods, nodes, and logs instantly.
- Unified cluster diagnostics accessible from any MCP-compatible AI assistant.
Tools
cluster-query: Fetch pod status, node health, resource usage (returns JSON metrics)log-streamer: Stream and filter container logs by pod/namespace (returns log lines)resource-inspector: Describe deployments, services, configmaps with context (returns YAML/details)event-monitor: List recent cluster events and warnings (returns timestamped events)debug-executor: Run diagnostic commands (top, describe, get) safely (returns command output)
Widgets
/cluster-dashboard: Real-time pod status, node health, resource utilization overview/log-viewer: Searchable log stream with filtering by pod, namespace, severity
Conversation starters
- "What pods are crashing in production and why?"
- "Show me the resource bottlenecks across all nodes."