MCP.Market

Lumino MCP Server

by geored·io.github.geored/lumino·v0.9.2·11 stars

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

A86/100grade A
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Safety scan
A86/100

full report

Adoption
Growing

11 stars

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Lumino MCP Server tools (39, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • adaptive_namespace_investigation

    Adaptive namespace investigation with progressive analysis and token budget management.

  • advanced_event_analytics

    Advanced ML-powered event analytics with log/metrics integration and runbook suggestions.

  • analyze_failed_pipeline

    Perform root cause analysis on a failed Tekton PipelineRun.

  • analyze_logs

    Analyze log text to extract error patterns and insights.

  • analyze_pod_logs_hybrid

    Hybrid log analyzer with intelligent strategy selection and caching.

  • automated_triage_rca_report_generator

    Generate automated Root Cause Analysis (RCA) report for pipeline/pod failures.

  • check_cluster_certificate_health

    Scan for expiring certificates across the cluster to prevent service disruptions.

  • check_resource_constraints

    Check for resource constraints in a namespace that may impact pipelines.

  • ci_cd_performance_baselining_tool

    Establish performance baselines for pipelines and flag runs deviating from historical norms.

  • conservative_namespace_overview

    Conservative namespace analysis optimized for large namespaces with strict token limits.

  • detect_anomalies

    Detect anomalies in Tekton PipelineRuns/TaskRuns using z-score statistical analysis.

  • detect_log_anomalies

    Detect anomalies in log data using error frequency, pattern repetition, and timestamp analysis.

  • find_pipeline

    Find Tekton pipelines matching a pattern across all accessible namespaces.

  • get_etcd_logs

    Retrieve etcd pod logs from Kubernetes/OpenShift with flexible time and line filtering.

  • get_konflux_components_status

    Retrieves a comprehensive status overview of all Konflux components across all accessible Kubernetes namespaces.

  • get_kubernetes_resource

    Retrieve details about a Kubernetes/Tekton resource.

  • get_machine_config_pool_status

    Monitor OpenShift Machine Config Pools for node configuration and update rollouts.

  • get_openshift_cluster_operator_status

    Check health and status of OpenShift cluster operators for platform functionality.

  • get_pipelinerun_logs

    Fetch logs from all pods in a Tekton PipelineRun with adaptive volume management.

  • get_tekton_pipeline_runs_status

    Get cluster-wide status summary of all Tekton PipelineRuns and TaskRuns.

  • investigate_tls_certificate_issues

    Investigate TLS/certificate issues across the cluster with targeted search and analysis.

  • list_namespaces

    List all namespaces in the Kubernetes cluster.

  • list_pipelineruns

    List Tekton PipelineRuns in a namespace with status and timing details.

  • list_pods_in_namespace

    List all pods in a Kubernetes namespace with status and placement info.

  • list_recent_pipeline_runs

    List recent Tekton PipelineRuns across all accessible namespaces, sorted by start time.

  • list_taskruns

    List Tekton TaskRuns in a namespace, optionally filtered by a specific PipelineRun.

  • live_system_topology_mapper

    Generate real-time dependency graph of Kubernetes/Tekton components and their interconnections.

  • pipeline_tracer

    Trace a logical operation (commit, PR, image) as it flows through pipelines.

  • predictive_log_analyzer

    Predict failures using ML analysis of historical log patterns before critical outages occur.

  • progressive_event_analysis

    Progressive event analysis with multiple detail levels and correlation detection.

  • prometheus_querywrite action

    Execute PromQL queries against Prometheus for cluster metrics.

  • resource_bottleneck_forecaster

    Forecast resource bottlenecks by analyzing utilization trends and predicting exhaustion points.

  • search_resources_by_labels

    Search Kubernetes resources by labels across multiple resource types and namespaces.

  • semantic_log_search

    Search logs using natural language queries with semantic understanding beyond keyword matching.

  • smart_get_namespace_events

    Adaptive event analysis for a namespace with automatic volume management.

  • smart_summarize_pod_logs

    Adaptive pod log analysis with automatic volume management and multi-pass processing.

  • stream_analyze_pod_logs

    Stream and analyze pod logs in chunks with progressive pattern detection.

  • track_pipeline_across_namespaces

    Tracks a specific Konflux pipeline and its associated components across all accessible namespaces.

  • what_if_scenario_simulator

    Simulate impact of configuration changes before applying to live system with risk assessment.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan13 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 27 days ago15/15
  • Maintainer identitynamespace and repository owner differ4/10
Overall 86/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Lumino MCP Server compares

Against every graded Developer tools MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
86/100
higher than 72% of 1,119 Developer tools servers
Tools
39
the typical Developer tools server has 7
Tools that change things
3%
typical: 5%. Fewer write tools means less an agent can break
GitHub stars
11
more than 84% of 854 Developer tools servers

What its tools let an agent do: 38 read · 1 change

Install Lumino MCP Server in Claude Code, Cursor or VS Code

claude mcp add lumino -- uvx lumino-mcp-server
Add to Cursor

What the publisher says

From the Lumino MCP Server repository's README, as published. We do not edit it. Read it on GitHub

LUMINO MCP Server

<!-- mcp-name: io.github.geored/lumino -->

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
  • Team Onboarding Guide
  • Prerequisites
  • Installation
  • Usage Examples
  • Configuration
  • ML Model Persistence
  • KubeArchive Integration
  • Prometheus/Thanos Integration
  • Available Tools

Team Onboarding Guide

New to the SPRE MCP diagnostics stack (Lumino, PagerDuty, Slack, DevLake, ngit-memory, GitHub, GitLab, Konflux Portal, Sumo Logic, Jira)? Start here:

  • docs/ONBOARDINGGUIDE.md** — setup, first diagnostic, troubleshooting, three worked examples, and expected tool outputs

Overview

LUMINO MCP Server transforms how Site Reliability Engineers (SREs) and DevOps teams interact with Kubernetes clusters. By exposing 39 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)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Lumino MCP Server: common questions

Is Lumino MCP Server safe?
Yes, by our scan: it is graded A (86/100). Read the Lumino MCP Server safety report
How do I install Lumino MCP Server?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Lumino MCP Server need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Lumino MCP Server maintained?
The last commit was 59 days ago (2026-09-04). The latest release is v0.9.2.
What can I use instead of Lumino MCP Server?
Servers from other publishers that do the same job: Kubernetes MCP server, Sentry MCP server and Radar Kubernetes MCP Server.
How does Lumino MCP Server compare with other Developer tools MCP servers?
safety score 86/100 (higher than 72% of 1,119 Developer tools servers); tools 39 (the typical Developer tools server has 7); tools that change things 3% (typical: 5%. Fewer write tools means less an agent can break). Full comparison.

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