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OMNIA MCP

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by Omniaeye
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Python
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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

    A3.7/5.0

    Scored across 4 tools

    Disambiguation4/5

    The tools are mostly distinct: evaluate handles single requests, evaluate_batch handles groups, get_decision reads persisted results, and capabilities reports configuration. There is minor potential confusion between evaluate and evaluate_batch, but the descriptions clarify the difference.

    Naming Consistency3/5

    Most tools follow an omnia_<verb>_<object> pattern, but omnia_capabilities is a bare noun and omnia_evaluate lacks an object, breaking the otherwise consistent style. All names share the omnia_ prefix and snake_case, so the inconsistency is moderate rather than chaotic.

    Tool Count5/5

    Four tools is a well-scoped size for this server's purpose. Each tool covers a distinct operation—single evaluation, batch evaluation, reading decisions, and capability reporting—without unnecessary bloat.

    Completeness4/5

    The surface covers the core evaluation lifecycle: evaluate single, evaluate batch, and read persisted decisions, plus capability discovery. A listing or search over persisted decisions would round it out, but the existing tools support the primary workflow without dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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