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k8scortex-mcp

by apatilgtn
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    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

    B3.2/5.0

    Scored across 75 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action, with detailed descriptions that clearly separate them. Despite the high number, there is no ambiguity between tools like list_pods, get_pod_logs, and describe_pod.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern in snake_case (e.g., list_pods, create_deployment). However, there is a mix of 'get_' and 'describe_' for similar operations, and some verbs like 'cordon' and 'drain' are non-standard, causing slight inconsistency.

    Tool Count1/5

    With 75 tools, the server is extremely overloaded. Even for a comprehensive Kubernetes management server, this number far exceeds the typical well-scoped range (3-15) and qualifies as an extreme mismatch, making it difficult for agents to navigate.

    Completeness4/5

    The tool set covers a wide range of Kubernetes resources and GitOps operations, including CRUD for many resources and additional utilities. Minor gaps like missing update_deployment and delete_pod exist, but the overall surface is quite complete for cluster management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources