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Cluster Execution MCP Server

by marc-shade
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Python
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    TDQS

    A3.9/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: cluster_bash for general command execution, cluster_status for monitoring, offload_to for explicit routing to a node, and parallel_execute for batch execution. There is no overlap in functionality.

    Naming Consistency2/5

    Tool names follow mixed conventions: cluster_bash and cluster_status share a prefix, but offload_to and parallel_execute use verb phrases without the prefix. The naming patterns are inconsistent, making it harder to infer the pattern at a glance.

    Tool Count4/5

    With 4 tools, the server is lean but covers the core functions of cluster execution. It could benefit from a dedicated node listing tool, but the count is appropriate for its scope.

    Completeness4/5

    The tool set covers the key operations: executing commands, getting status, explicit routing, and parallel execution. Minor gaps like the absence of a tool to list available nodes dynamically are present but do not severely hinder typical workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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