Enables diagnosing Kubernetes clusters without creating or changing cluster objects, with tools to inspect health, workloads, events, storage, RBAC, custom resources, logs, and configuration.
Enables network discovery, port scanning, and infrastructure monitoring with device detection, service fingerprinting, and cluster health checks for autonomous AI systems.
Provides network monitoring capabilities including real-time latency measurement, ping sweeps, and subnet scanning via MCP tools, with a companion web dashboard for live visualization.
A minimal network monitoring MCP tool for Playwright browser automation. Just 5 simple tools to capture, filter, and analyze network traffic during web automation with MCP context efficiency.
Enables real-time Kubernetes cluster observability and debugging through standardized MCP interface. Provides access to pods, services, nodes, events, and includes built-in tools for cluster health analysis and issue identification.
Enables interactive Kubernetes cluster monitoring and troubleshooting through natural language queries. Users can diagnose pod issues, check service status, and investigate cluster problems using conversational AI.
Exposes Kubernetes cluster state with specialized telecom awareness of 5G Core network functions and topologies to MCP-compatible LLMs. It enables natural language analysis of 5G workloads, network slices, UPF data planes, and cluster health.
Enables AI assistants to manage and monitor UniFi network infrastructure through natural language, providing 46 management tools across device, client, WiFi, network, firewall, port forwarding, monitoring, and site management.
A read-only MCP server exposing GPON access-network tools for inventory, status, configuration diff, and alarms, enabling a LangGraph agent to audit ONT provisioning against a golden baseline. It runs against a simulated network and enforces read-only constraints at multiple levels.
Enables comprehensive benchmarking and performance monitoring of OpenShift clusters using OVN-Kubernetes networking through automated data collection, AI-powered analysis, and report generation. Provides intelligent insights into cluster performance, bottleneck detection, and optimization recommendations.