Advertise
MCP.so
Sign In
L

Lumino MCP Server

@spre-sre

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

spre-sre

Submitted by

geored

About Lumino MCP Server

AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

#mcp#model-context-protocol#kubernetes#openshift#tekton#sre#observability#ai#machine-learning#devops#cicd#prometheus#log-analysis#root-cause-analysis#konflux#claude#anthropic#mcp-server

Lumino MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "lumino": {
      "type": "stdio",
      "command": "<ABSOLUTE_PATH_TO_LUMINO>/.venv/bin/python",
      "args": [
        "<ABSOLUTE_PATH_TO_LUMINO>/main.py"
      ],
      "env": {
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}

Lumino MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Lumino?

Lumino is an open source MCP (Model Context Protocol) server that empowers Site Reliability Engineers (SREs) and DevOps teams with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. It exposes 37 specialized tools through MCP for monitoring, analysis, troubleshooting, prediction, and simulation.

How to use Lumino?

Clone the repository, install Python dependencies with uv sync (or pip install -e .), and run python main.py. For Claude Code CLI users, configure a .mcp.json file pointing to the installed server. Alternatively, use mcpm install @spre-sre/lumino-mcp-server. After installation, authenticate to a Kubernetes/OpenShift cluster and approve the MCP server to start using Lumino tools.

Key features of Lumino

  • Kubernetes & OpenShift operations (namespace, pod, resource management)
  • Tekton pipeline intelligence (monitoring, root cause analysis, baselining)
  • Advanced log analysis (summarization, streaming, semantic search, anomaly detection)
  • Predictive & proactive monitoring (statistical anomaly detection, resource forecasting)
  • Event intelligence (smart retrieval, ML pattern detection, log-event correlation)
  • Simulation & what-if analysis (Monte Carlo, impact analysis, risk assessment)

Use cases of Lumino

  • Generate comprehensive RCA reports for failed pipeline runs
  • Predict resource bottlenecks across namespaces for the next 48 hours
  • Simulate configuration changes before deploying to production
  • Map live topology of services, deployments, and dependencies
  • Perform advanced forensic investigation with multi-faceted log/event analysis
  • Establish CI/CD pipeline performance baselines and detect deviations

Frequently asked questions

1

What are the prerequisites for using Lumino?

Python 3.10+, an MCP client (Claude Desktop, Claude Code CLI, Gemini CLI, or Cursor IDE), and a valid Kubernetes/OpenShift kubeconfig with read permissions.

2

How does authentication work?

Lumino automatically detects Kubernetes configuration: in-cluster config when running inside a pod, or local kubeconfig (`~/.kube/config`) when running locally.

3

What transports are supported?

Local mode uses stdio transport for direct MCP client integration. When the `KUBERNETES_NAMESPACE` environment variable is set, the server switches to HTTP streaming transport for Kubernetes‑native operation.

4

What dependencies are required?

Core: Python 3.10+, `uv` or `pip`. Optional but recommended: `uv` for faster dependency management, `MCPM` for easier installation, and Prometheus for advanced metrics and forecasting.

5

Does Lumino have any known limitations?

The README does not list any explicit known limitations.

Comments

More Developer Tools MCP servers

Modelglass

Modelglass

Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

1

LastPing

LastPing

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci

Just Domain.

Just.

Just Domain is the domain registrar for businesses built with AI. An AI assistant checks availability and both prices, first year and renewal, and hands back a checkout link for justdomain.ai. Read only by design: no pur

Codex Pets

astandrik

Public read-only MCP server for discovering, inspecting, installing, and sharing approved Codex-compatible animated pet packs.

Official Porkbun MCP Server

Porkbun LLC

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

32
Advertise