This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+5 more
Summary
AI summaryAdded 60 new tools across six advanced Kubernetes ecosystem toolsets, raising the total to 224.
Full changelog
What's New
Added 60 new tools across 6 advanced Kubernetes ecosystem toolsets, bringing the total from 164 to 224 tools.
New Ecosystem Toolsets
| Toolset | Tools | Description |
|---------|-------|-------------|
| KEDA | 7 | Event-driven autoscaling (ScaledObjects, ScaledJobs, TriggerAuthentications) |
| Cilium/Hubble | 8 | eBPF-powered networking & observability (NetworkPolicies, Hubble flows) |
| Argo Rollouts/Flagger | 11 | Progressive delivery (Canary, Blue-Green, AnalysisRuns) |
| Cluster API | 11 | Declarative cluster lifecycle management |
| KubeVirt | 13 | VM management on Kubernetes (start, stop, migrate, pause) |
| Istio/Kiali | 10 | Service mesh observability (VirtualServices, DestinationRules, Gateways) |
Improvements
- Improved error handling in CAPI kubeconfig lookup (properly propagates non-NotFound errors)
- Fixed Argo Rollouts full promotion to use
promoteFull=True
Installation
# pip
pip install kubectl-mcp-server==1.16.0
# npm
npx [email protected]
# Docker
docker pull rohitghumare64/kubectl-mcp-server:1.16.0
Full Changelog: https://github.com/rohitg00/kubectl-mcp-server/compare/v1.15.0...v1.16.0
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About rohitg00/kubectl-mcp-server
A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
Related context
Beta — feedback welcome: [email protected]