LUMINO MCP Server is an open source Model Context Protocol server that provides intelligent observability, predictive analytics, and AI-driven automation for Kubernetes, OpenShift, and Tekton environments.
From the registry: AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools
Please install the `lumino` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `uv`
- args: ["run","--directory","/path/to/lumino-mcp-server","python","main.py"]
- required environment variables:
- `PYTHONUNBUFFERED`: (example: `1`)
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.KUBERNETES_NAMESPACErequiredNamespace for K8s mode when running the server inside a Kubernetes pod.K8S_NAMESPACEAlternative to KUBERNETES_NAMESPACE.PROMETHEUS_URLPrometheus server URL for metrics.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.