Serversio.github.geored/lumino
L

Lumino MCP Server

io.github.geored/lumino · v0.9.2
▦ pypi
v0.9.2pypi pypi: lumino-mcp-server↗ Website↗ Repository
{}server.json

The full server descriptor as registered with IndusMCP.

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.geored/lumino",
  "description": "AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools",
  "title": "Lumino MCP Server",
  "repository": {
    "url": "https://github.com/spre-sre/lumino-mcp-server",
    "source": "github"
  },
  "version": "0.9.2",
  "websiteUrl": "https://github.com/spre-sre/lumino-mcp-server",
  "packages": [
    {
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "identifier": "lumino-mcp-server",
      "version": "0.9.2",
      "runtimeHint": "uvx",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Path to Kubernetes config file for cluster authentication",
          "default": "~/.kube/config",
          "name": "KUBECONFIG"
        }
      ]
    }
  ],
  "_meta": {
    "io.modelcontextprotocol.registry/publisher-provided": {
      "categories": [
        "cloud",
        "devops",
        "monitoring",
        "kubernetes"
      ],
      "language": "python",
      "license": "Apache-2.0",
      "tags": [
        "kubernetes",
        "openshift",
        "tekton",
        "sre",
        "observability",
        "pipelines",
        "log-analysis",
        "root-cause-analysis",
        "predictive-monitoring"
      ]
    },
    "dev.indusmcp/source": "official-registry-mirror",
    "dev.indusmcp/synced": "2026-05-12"
  }
}