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mcp-turboquant

by ShipItAndPray
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Python
Remote

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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

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct action in the quantization workflow: system check, model info, recommendation, quantization, evaluation, and upload. No overlap or ambiguity.

    Naming Consistency4/5

    All tools use single imperative verbs (check, evaluate, info, push, quantize, recommend). 'Info' is a noun rather than verb, but the pattern is otherwise consistent and clear.

    Tool Count5/5

    6 tools cover the entire quantization lifecycle without bloat or missing essentials. Each tool earns its place for a focused server purpose.

    Completeness4/5

    Covers system check, model info, recommendation, quantization, evaluation, and upload. Minor gap: no tool to list previously quantized models locally, but core workflow is complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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