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RunningHub MCP

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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

    C2.9/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools target clearly distinct resources or lifecycle stages, and descriptions explicitly separate local from cloud and discovery from execution. Some potential confusion remains among noun-only multiplexed tools (rh_job, rh_work_item, rh_prepare_generation) and between validate_payload and validate_workflow, but boundaries are generally clear.

    Naming Consistency3/5

    All tools use a consistent rh_ snake_case prefix, but the naming pattern is not uniform: many are verb_noun, while project, asset, scene, work_item, and job are noun-only tools that bundle multiple operations. The names are readable but do not follow one predictable convention.

    Tool Count3/5

    24 tools is heavy for a single MCP server and sits at the upper edge of the 16-25 range before becoming excessive. The domain is broad enough that each tool has some rationale, but the set is large enough to burden selection and increase cognitive load.

    Completeness4/5

    The surface covers discovery, workflow creation/read/edit/validate/export/import/search, project and asset handling, scene and work-item context, generation preparation/run/job/results/review, and capability reporting. Some delete or list operations are absent, such as deleting projects/assets or listing jobs, but core generation lifecycle coverage is strong.

    Resources