AI-powered Kubernetes diagnostics, RBAC analysis, security checks, and app deployment via MCP
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io.github.kubestellar/kubestellar-mcp is an MCP server that AI-powered Kubernetes diagnostics, RBAC analysis, security checks, and app deployment via MCP. Its tool list has not been published yet over stdio and http, requires no API key, and scores 42/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"kubestellar-ops": {
"args": [
"--mcp-server"
],
"command": "kubestellar-ops"
}
}
}Are you the author?
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AI-powered Kubernetes diagnostics, RBAC analysis, security checks, and app deployment via MCP
No automated test available for this server. Check the GitHub README for setup instructions.
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AI-powered multi-cluster Kubernetes tools for Claude Code.
Single-cluster UX for multi-cluster reality - work with your apps, not your clusters.
kubestellar-mcp is the AI entry point to the KubeStellar platform — a CNCF Sandbox ecosystem for multi-cluster Kubernetes orchestration.
| Sub-project | Role |
|---|---|
| kubestellar | Core engine — BindingPolicy, WDS, ITS, WEC workload propagation |
| console | Web dashboard — 300+ cards, AI missions, GPU and LLM-d monitoring |
| console-marketplace | 153+ community card presets (GPU/AI/ML, ArgoCD, OPA, Falco, security) |
| console-kb | AI knowledge base — community missions and operational runbooks |
| kubestellar-mcp | This repo — MCP server for Claude, Cursor, Windsurf, VS Code |
kubestellar-mcp lets AI agents inspect and operate clusters through natural language. For visual dashboards and AI missions, see KubeStellar Console.
| Binary | Description |
|---|---|
| kubestellar-ops | Multi-cluster diagnostics, RBAC analysis, security checks |
| kubestellar-deploy | App-centric deployment, GitOps, smart workload placement |
Additional documentation lives in docs/:
docs/index.md - expanded setup, plugin workflow, CLI usage, and operational guidancedocs/ARCHITECTURE.md - architecture overview and contributor guide for the two MCP servers, request lifecycle, and how to add new toolsIf you are contributing new MCP capabilities, start with docs/ARCHITECTURE.md; it is the best guide to how the servers are organized and where new tools should be added.
docs/slo.md - Service Level Objectives and Indicatorsdocs/alerts/ - importable Prometheus alert rules aligned with the SLOsdocs/dashboards/ - importable Grafana dashboardrunbooks/ - operational runbooks (startup/shutdown, cluster discovery failures, credential rotation, connectivity loss, release rollback)docs/postmortem-template.md - incident postmortem templatedocs/severity-levels.md - P1-P4 incident severity scale used by the incident template and postmortem requirementbrew tap kubestellar/tap
# Install diagnostics tools
brew install kubestellar-ops
# Install deployment tools
brew install kubestellar-deploy
# Or install both
brew install kubestellar-ops kubestellar-deploy
Download from GitHub Releases.
Prerequisites: Go 1.26+ (go version to verify)
git clone https://github.com/kubestellar/kubestellar-mcp.git
cd kubestellar-mcp
# Build both binaries
go build -o bin/kubestellar-ops ./cmd/kubestellar-ops
go build -o bin/kubestellar-deploy ./cmd/kubestellar-deploy
sudo mv bin/kubestellar-* /usr/local/bin/
In Claude Code, run:
/plugin marketplace add kubestellar/claude-plugins
/plugin install kubestellar-ops
/plugin install kubestellar-deploy
Or:
/plugin → Marketplaces tab → click Update on kubestellar marketplace/plugin → Discover tab → Install kubestellar-ops and/or kubestellar-deployRun /mcp in Claude Code - you should see:
plugin:kubestellar-ops:kubestellar-ops · ✓ connected
plugin:kubestellar-deploy:kubestellar-deploy · ✓ connected