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icy-r

Kube MCP

by icy-r
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct Kubernetes resource type (e.g., configmaps, deployments, pods) with clear boundaries. The actions within each tool are well-defined for that resource, preventing overlap or confusion between tools. An agent can easily distinguish between managing pods versus deployments versus services.

    Naming Consistency5/5

    All tool names follow a consistent 'k8s_' prefix with the resource name (e.g., k8s_configmaps, k8s_deployments). Actions within tools use consistent verbs like list, get, create, update, delete. This predictable pattern enhances readability and usability across the entire set.

    Tool Count5/5

    With 9 tools covering core Kubernetes resources (configmaps, deployments, events, metrics, namespaces, pods, secrets, services, plus audit), this is well-scoped for a Kubernetes management server. Each tool serves a distinct purpose, and the count aligns with typical MCP server ranges (3-15 tools).

    Completeness4/5

    The tool set provides comprehensive CRUD/lifecycle coverage for key Kubernetes resources, including audit features. Minor gaps exist, such as no update/delete for services or events, but core operations are covered. Agents can handle most Kubernetes management tasks without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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