LUMINO MCP Server

List all namespaces in the Kubernetes cluster.

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

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

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

Retrieve details about a Kubernetes/Tekton resource.

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

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

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

Adaptive event analysis for a namespace with automatic volume management.

Analyze log text to extract error patterns and insights.

Perform root cause analysis on a failed Tekton PipelineRun.

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

Find Tekton pipelines matching a pattern across all accessible namespaces.

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

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

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

Execute PromQL queries against Prometheus for cluster metrics.

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

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

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

Adaptive namespace investigation with progressive analysis and token budget management.

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

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

Hybrid log analyzer with intelligent strategy selection and caching.

Progressive event analysis with multiple detail levels and correlation detection.

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

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

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

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

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

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

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

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

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

Manage training data for the predictive log analyzer.

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

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

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

Query archived Kubernetes resources from KubeArchive (historical data no longer on the cluster).

Cluster pod logs into unique structural templates using Drain3 parse-tree mining.

Classify pod logs into golden signals and fault categories using ML (zero-shot transformer).