MCP servers and skills: search, filter by where they run, and compare.
Lets an MCP client inspect and change Kubernetes and OpenShift resources, pods, logs, Helm releases and more.
Node.jsApache-2.0★ 2.2kNeeds Kubernetes
Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events. Use when pods fail to start or crash repeatedly. Don't use for GKE cluster infrastru
OfficialSkillApache-2.0★ 21k in collectionNo key
Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or G
OfficialSkillApache-2.0★ 21k in collectionNo key
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (`audit_cluster.sh`), enforcing Network
OfficialSkillApache-2.0★ 21k in collectionNo key
Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hyperco
OfficialSkillApache-2.0★ 21k in collectionNo key
Diagnose NCCL failures and adjacent training-pod failures on HyperPod GPU clusters (EKS or Slurm) — training hangs, AllReduce / collective-op timeouts, EFA or libfabric errors, rendezvous failures, EF
OfficialSkillApache-2.0★ 918 in collectionNo key
The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and clus
GoApache-2.0★ 3.8kNo key
Kubernetes-native VM orchestration without KubeVirt or libvirt. Kubernetes declares. Kairon orchestrates. FluxVM executes.
DockerApache-2.0★ 18Needs a key
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / P
OfficialSkillApache-2.0★ 285 in collectionNo key
Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus confi
OfficialSkillApache-2.0★ 256 in collectionNo key
k8s controller manager w/o using CRDs (cuz your organization lockdown your cluster permissions)
Node.jsApache-2.0★ 2Few starsNo key
MCP Server for kubernetes management and diagnose your cluster and applications
GoApache-2.0★ 29No key
MKP is a Model Context Protocol (MCP) server for Kubernetes
GoApache-2.0★ 59No key
Official Runpod plugin for AI coding agents. Skills plus the hosted Runpod MCP server for managing pods, serverless endpoints, templates and volumes. Works with Claude Code, Codex and Gemini CLI.
SkillApache-2.0★ 46No key
Connect AI to Kubernetes: filtered responses, fine RBAC, safe to expose with OAuth 2.1
GoApache-2.0★ 42No key
A Model Context Protocol (MCP) server for Rancher
GoApache-2.0★ 18No key
Read-only Kubernetes ontology database for diagnostics and AI-agent consumption.
SkillApache-2.0★ 3Few starsNo key
Real VMs for your LLM. Provision, execute, validate. In seconds. LLM4Ops.
SkillApache-2.0★ 14No key
Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists,
OfficialSkillApache-2.0★ 21k in collectionNo key
Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collecti
OfficialSkillApache-2.0★ 21k in collectionNo key
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (livenes
OfficialSkillApache-2.0★ 21k in collectionNo key
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on
OfficialSkillApache-2.0★ 21k in collectionNo key
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