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KubeCraft MCP Server

by cloudcrafttech
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 73 tools

    Disambiguation3/5

    Most tools have distinct purposes, but there are pairs like render_app_architecture/visualize_app_architecture, render_namespace/visualize_namespace, render_network/visualize_network, and render_cluster_topology/visualize_cluster_topology that overlap significantly, causing potential confusion for an agent.

    Naming Consistency4/5

    Tool names predominantly follow verb_noun pattern (e.g., list_pods, describe_crd, diagnose_pod). Some deviations include longer prefixes like argocd_list_apps or get_gpu_promql_reference, but overall the pattern is consistent.

    Tool Count3/5

    73 tools is heavy but justifiable for a comprehensive Kubernetes diagnostics and visualization server. Some tools could be merged (e.g., render/visualize pairs), and a few are very niche (get_gpu_promql_reference), but the count remains within a reasonable range for the scope.

    Completeness4/5

    The tool set is comprehensive for observability and diagnostics: it covers list, describe, diagnose, detect, render, and visualize for a wide range of resources. However, it lacks CRUD operations, which is likely intentional for a read-only diagnostic server, leaving minor gaps in lifecycle management.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources