K8s Lens MCP
Enables natural language Kubernetes operations, including smart resource queries, pod root-cause analysis, cross-environment diffs, and manifest generation.
README
🔭 K8s Lens MCP
A Model Context Protocol (MCP) server for intelligent, natural-language-powered Kubernetes operations.
Stop memorizing kubectl flags. Ask your cluster questions in plain English.
✨ What It Does
K8s Lens MCP exposes deep analytical tools to any MCP-compatible AI assistant (Claude, Cursor, Copilot, etc.):
| Capability | Example Prompt |
|---|---|
| Smart Resource Queries | "Show me all pods with status CrashLoopBackOff in namespace staging" |
| Pod Root-Cause Analysis | "Why is this pod failing?" — correlates events, logs, resource limits, and node conditions |
| Cross-Environment Diff | "Diff the nginx deployment between staging and prod" |
| Manifest Generation | "Create a basic nginx deployment with 2 replicas and a LoadBalancer service" |
Unlike thin kubectl wrappers, K8s Lens MCP analyzes and correlates data so the AI can give you real answers, not just raw command output.
🚀 Quick Start
1. Install
pip install k8s-lens-mcp
Or with Poetry:
poetry add k8s-lens-mcp
2. Configure Your AI Client
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"k8s-lens": {
"command": "k8s-lens-mcp",
"args": []
}
}
}
Cursor
Add to Cursor Settings → MCP:
{
"mcpServers": {
"k8s-lens": {
"command": "k8s-lens-mcp",
"args": []
}
}
}
3. Start Talking to Your Cluster
Open Claude or Cursor and ask:
"Show me all failing pods in the default namespace and tell me why they're failing."
🛡️ Safety First
- Read-only by default — the server starts in
--read-onlymode. No accidental deletions. - RBAC-respecting — we use your kubeconfig / ServiceAccount. We don't bypass Kubernetes permissions.
- Secret masking — Kubernetes Secret data is never returned in tool output.
To enable read-write mode (future feature):
k8s-lens-mcp --read-only=false
🏗️ Development
Prerequisites
- Python 3.11+
- Poetry
- A Kubernetes cluster (e.g. kind, minikube, or a remote cluster)
Setup
git clone https://github.com/yourusername/k8s-lens-mcp.git
cd k8s-lens-mcp
poetry install
Run Locally
poetry run k8s-lens-mcp
Test with MCP Inspector
npx @modelcontextprotocol/inspector poetry run k8s-lens-mcp
Run Tests
poetry run pytest
Lint & Format
poetry run ruff check .
poetry run ruff format .
📋 Roadmap
- [x] Core MCP server scaffold
- [x]
get_resources— filtered resource queries - [x]
analyze_pod— multi-signal root cause analysis - [x]
compare_deployments— cross-environment diffing - [x]
generate_manifest— best-practice manifest generation - [ ] Cost / resource optimization advisor
- [ ] Multi-cluster context aggregation
- [ ] Helm release values diffing
- [ ] In-cluster deployment (Helm chart)
- [ ]
kubectlplugin wrapper (kubectl lens "...")
🤝 Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
Please read our Code of Conduct.
📄 License
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