Skip to main content
Glama
geored

Lumino

by geored

Related Servers

Alternatives to Lumino

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.
      31 PyPI
      11
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      A comprehensive Model Context Protocol (MCP) server that exposes 216 tools, 7 resources, and 10 runbook prompts for every OpenShift 4 cluster operation an SRE, developer, or operator could need — all driven by an LLM.
      216
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables operators and MCP clients to perform read-only, multi-cluster Kubernetes diagnostics by correlating deployment inventory, approved Prometheus metrics, firing alerts, and reusable troubleshooting skills without executing cluster commands or modifying workloads. It exposes tools, resources, and prompts for deployment health checks, metric queries, alert inspection, and skill discovery.
      MIT

    TDQS

    B3.4/5.0

    Scored across 37 tools

    Disambiguation2/5

    Multiple tools have overlapping purposes that could cause confusion. For example, 'adaptive_namespace_investigation', 'conservative_namespace_overview', and 'smart_get_namespace_events' all analyze namespace events with similar parameters. Similarly, 'analyze_pod_logs_hybrid', 'smart_summarize_pod_logs', and 'stream_analyze_pod_logs' all handle pod log analysis with overlapping functionality. While descriptions provide some differentiation, the boundaries between these tools are unclear.

    Naming Consistency3/5

    The naming conventions are mixed but generally readable. Most tools use snake_case (e.g., 'adaptive_namespace_investigation', 'analyze_failed_pipeline'), but there are deviations like 'ci_cd_performance_baselining_tool' with inconsistent underscores. Verb patterns vary: some start with verbs (analyze_, detect_, get_, list_), others are descriptive phrases (adaptive_namespace_investigation, conservative_namespace_overview). While not chaotic, the lack of a consistent pattern reduces predictability.

    Tool Count2/5

    With 37 tools, this server feels excessively heavy for its Kubernetes/Tekton monitoring and troubleshooting domain. Many tools appear to be minor variations of core functions (e.g., multiple namespace investigation tools, multiple pod log analyzers). The count suggests feature duplication rather than comprehensive coverage, making it difficult for agents to navigate efficiently. A more focused set of 15-20 tools would better serve the apparent scope.

    Completeness4/5

    The tool surface covers the Kubernetes/Tekton monitoring domain comprehensively. It includes resource retrieval (get_kubernetes_resource), listing operations (list_namespaces, list_pipelineruns), log analysis, event investigation, performance monitoring, and advanced features like predictive analytics and simulation. While there might be minor gaps in specific subdomains, the set supports complete troubleshooting workflows from detection to remediation across the CI/CD pipeline lifecycle.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues