Lumino

# Changelog All notable changes to Lumino MCP Server will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [0.9.2] - 2026-01-24 ### Added - Published to [MCP Registry](https://registry.modelcontextprotocol.io) 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](https://pypi.org/project/lumino-mcp-server/) 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)