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GPU-Gate-MCP

by ssain3d-lgtm
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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

    A4/5.0

    Scored across 3 tools

    Disambiguation4/5

    The two batch tools are separated by backend (ComfyUI vs VoiceStudio) and gate_status is a clear read-only counterpart, so boundaries are mostly clear. The shared 'batch while LLM unloaded' framing and the 'gate' theme create mild risk of confusion, but the names and descriptions make the target system explicit.

    Naming Consistency4/5

    comfy_batch and voice_batch follow a consistent noun_action pattern with a shared _batch suffix, and gate_status is readable in the same style. The minor deviation (status vs batch) is natural and does not hurt predictability.

    Tool Count4/5

    Three tools is well-scoped for a GPU gate whose purpose is to run two classes of GPU jobs and report state. It is slightly thin—there is no per-job submission or cancellation tool—but nothing is redundant.

    Completeness3/5

    Coverage includes batch execution for both backends plus a status snapshot, which fits the stated purpose. However, there is no way to cancel or abort a long-blocking batch, nor to list or inspect past batches beyond the last result, leaving notable gaps for a blocking-execution server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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