LUMINO MCP Server

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.

Table of Contents

• Overview
• Features
• Quick Start
• Prerequisites
• Installation
• Usage Examples
• Configuration
• Available Tools
• Architecture
• How It Works
• MCP Client Integration
• Performance Considerations
• Troubleshooting
• Dependencies
• Contributing
• Security
• License
• Acknowledgments

Overview

LUMINO MCP Server transforms how Site Reliability Engineers (SREs) and DevOps teams interact with Kubernetes clusters. By exposing 37 specialized tools through the Model Context Protocol, it enables AI assistants to:

• Monitor cluster health, resources, and pipeline status in real-time
• Analyze logs, events, and anomalies using statistical and ML techniques
• Troubleshoot failed pipelines with automated root cause analysis
• Predict resource bottlenecks and potential issues before they occur
• Simulate configuration changes to assess impact before deployment

Features

Kubernetes & OpenShift Operations

• Namespace and pod management
• Resource querying with flexible output formats
• Label-based resource search across clusters
• OpenShift operator and MachineConfigPool status
• etcd log analysis

Tekton Pipeline Intelligence

• Pipeline and task run monitoring across namespaces
• Detailed log retrieval with optional cleaning
• Failed pipeline root cause analysis
• Cross-cluster pipeline tracing
• CI/CD performance baselining

Advanced Log Analysis

• Smart log summarization with configurable detail levels
• Streaming analysis for large log volumes
• Hybrid analysis combining multiple strategies
• Semantic search using NLP techniques
• Anomaly detection with severity classification

Predictive & Proactive Monitoring

• Statistical anomaly detection using z-score analysis
• Predictive log analysis for early warning
• Resource bottleneck forecasting
• Certificate health monitoring with expiry alerts
• TLS certificate issue investigation

Event Intelligence

• Smart event retrieval with multiple strategies
• Progressive event analysis (overview to deep-dive)
• Advanced analytics with ML pattern detection
• Log-event correlation

Simulation & What-If Analysis

• Monte Carlo simulation for configuration changes
• Impact analysis before deployment
• Risk assessment with configurable tolerance
• Affected component identification

Quick Start

Get started with LUMINO in under 2 minutes:

For Claude Code CLI Users (Easiest)

Simply ask Claude Code to provision the Lumino MCP server for you by pasting this prompt:

Provision the Lumino MCP server as a project-local MCP integration:

1. Clone the repository:
   git clone https://github.com/spre-sre/lumino-mcp-server.git

2. Install Python dependencies using uv:
   cd lumino-mcp-server && uv sync

3. Create .mcp.json in the current project root (NOT inside lumino-mcp-server) with this configuration.
   IMPORTANT: Replace <ABSOLUTE_PATH_TO_LUMINO> with the actual absolute path to the cloned lumino-mcp-server directory:

   {

... [View full README on GitHub](https://github.com/spre-sre/lumino-mcp-server#readme)