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Changelog

All notable changes to Lumino MCP Server will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.9.2] - 2026-01-24

Added

  • Published to MCP Registry as io.github.geored/lumino
  • Added PyPI badge to README
  • Added mcp-name comment to README for registry validation

Changed

  • Registry name changed to io.github.geored/lumino for publishing

[0.9.1] - 2026-01-24

Added

  • MCP Registry support with server.json for registry submission
  • [tool.mcp] section in pyproject.toml for registry integration
  • Published to PyPI with full README documentation

Changed

  • Updated package description to better reflect SRE observability capabilities
  • Added keywords: sre, observability, pipelines

Fixed

  • analyze_failed_pipeline - Handle deleted pods gracefully with fallback to TaskRun step info
  • check_cluster_certificate_health - Fix duplicate namespace entries and respect user namespace filter
  • check_resource_constraints - Add lowercase 'k' suffix support for count quotas (e.g., "2k" = 2000)
  • detect_log_anomalies - Fix pattern key extraction showing "?i)" instead of category names
  • ci_cd_performance_baselining - Filter out "unknown" task entries from Prometheus metrics

[0.9.0] - 2026-01-18

Added

Core Infrastructure

  • Initial release of Lumino MCP Server with 37 MCP tools
  • MCP (Model Context Protocol) integration for AI-powered Kubernetes operations
  • Multi-cluster support with automatic context detection
  • Prometheus integration for metrics queries
  • Namespace caching with 1-day TTL for performance

Kubernetes Tools

  • list_namespaces - List all namespaces in the cluster
  • list_pods_in_namespace - List pods with status and placement info
  • get_kubernetes_resource - Retrieve details about any Kubernetes resource
  • search_resources_by_labels - Search resources across types and namespaces
  • check_resource_constraints - Identify resource bottlenecks

Tekton Pipeline Tools

  • list_pipelineruns - List PipelineRuns with status and timing
  • list_taskruns - List TaskRuns, optionally filtered by PipelineRun
  • find_pipeline - Find pipelines matching a pattern across namespaces
  • get_pipelinerun_logs - Fetch logs from all pods in a PipelineRun
  • get_tekton_pipeline_runs_status - Cluster-wide status summary
  • list_recent_pipeline_runs - Recent PipelineRuns across all namespaces
  • analyze_failed_pipeline - Root cause analysis for failed pipelines

Analysis & Diagnostics

  • analyze_logs - Extract error patterns and insights from logs
  • detect_anomalies - Statistical anomaly detection in PipelineRuns
  • detect_log_anomalies - ML-powered log anomaly detection
  • smart_get_namespace_events - Adaptive event analysis with auto-filtering
  • progressive_event_analysis - Multi-level event correlation
  • advanced_event_analytics - ML patterns with runbook suggestions

Log Analysis Tools

  • smart_summarize_pod_logs - Adaptive pod log analysis
  • stream_analyze_pod_logs - Streaming log analysis with pattern detection
  • analyze_pod_logs_hybrid - Intelligent strategy selection for log analysis
  • semantic_log_search - Natural language log search

Predictive & Forecasting

  • predictive_log_analyzer - ML-based failure prediction
  • resource_bottleneck_forecaster - Resource exhaustion forecasting
  • what_if_scenario_simulator - Impact simulation for config changes

CI/CD Performance

  • ci_cd_performance_baselining_tool - Performance baselines with statistical analysis
  • pipeline_tracer - Trace operations through pipeline flows
  • automated_triage_rca_report_generator - Automated root cause analysis reports

OpenShift Support

  • get_machine_config_pool_status - MCP status and update monitoring
  • get_openshift_cluster_operator_status - Cluster operator health checks
  • get_etcd_logs - Retrieve etcd pod logs
  • check_cluster_certificate_health - Certificate expiration scanning
  • investigate_tls_certificate_issues - TLS issue investigation

Namespace Investigation

  • conservative_namespace_overview - Quick namespace health check
  • adaptive_namespace_investigation - Progressive namespace analysis
  • live_system_topology_mapper - Real-time dependency graph generation

Prometheus Integration

  • prometheus_query - Execute PromQL queries with automatic auth

Performance Optimizations

  • find_pipeline - Cluster-wide queries with API limits and optional TaskRun fetching
  • ci_cd_performance_baselining_tool - Parallelized Prometheus queries
  • get_tekton_pipeline_runs_status - Configurable limits to prevent timeouts on large clusters
  • pipeline_tracer - Parallelization and namespace targeting
  • predictive_log_analyzer - Namespace targeting and improved log collection

Container Image

  • Available at quay.io/geored/lumino-mcp-server
  • Multi-architecture support (amd64, arm64)