# Lumino MCP Server

> Use this tool when you need to streamline Kubernetes and OpenShift monitoring, as it provides AI-powered SRE observability and debugging capabilities through 40+ Tekton tools. It solves problems related to identifying and resolving issues in complex containerized environments, offering a comprehensive interface for inputting logging data and outputting actionable insights. Ideal for use in large-scale, dynamic deployments requiring proactive error detection and efficient troubleshooting.

Canonical page: https://skillsregistry.net/skills/io-github-geored-lumino  
JSON: https://api.skillsregistry.net/v1/skills/io-github-geored-lumino

## Description

AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.9.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.geored%2Flumino)
- **Repository:** <https://github.com/spre-sre/lumino-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-geored-lumino"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-geored-lumino` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-geored-lumino/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt