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kube-diagnostics-mcp

by ranson21

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      Gives AI assistants read-only access to a Kubernetes cluster's observability stack — Loki, Prometheus, Tempo, the Kubernetes API — plus AWS telemetry from CloudTrail, Config, ECR, and RDS. 23 tools for querying logs, metrics, traces, Kubernetes events, deployments, and audit history in plain language.
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    TDQS

    B3.2/5.0

    Scored across 57 tools

    Disambiguation3/5

    Most tools have detailed, distinct descriptions, but the large surface creates several near-overlaps: get_endpoints vs get_endpoint_metrics, get_exposure vs get_ingress_routes, get_open_connections vs get_egress_destinations, and get_web_vitals vs get_page_load_breakdown. An agent could plausibly select the wrong tool without reading descriptions carefully.

    Naming Consistency4/5

    The dominant pattern is get_verb_noun in snake_case, with list_, summarize_, check_, and diagnose_ used predictably for their categories. Minor outliers like health_report, security_posture, and what_changed break the verb-first convention but are still readable.

    Tool Count2/5

    57 tools is far beyond the typical well-scoped MCP surface and will impose significant selection burden on agents. While the domain is broad, the count exceeds even the 25+ threshold for 'too many' in the calibration.

    Completeness4/5

    The surface covers Kubernetes diagnostics remarkably thoroughly: metrics, logs, events, traces, JVM internals, proxy behavior, RUM, network, security, config, and runbooks. Minor gaps remain around direct node inventory, Prometheus alert evaluation, and storage/PVC status, but agents can usually work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues