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Cavalry MCP Bridge

by matthewobanla
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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

    B3.4/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools target clearly distinct operations: creation, attribute access, graph connections, timeline, playback, and rendering. However, `eval_expression` and `run_script` overlap in JS execution, and `render_queue` vs `add_to_render_queue` could cause minor confusion despite different purposes.

    Naming Consistency4/5

    All tools share the `cavalry_` prefix and mostly follow a verb_noun pattern such as `get_scene_info`, `create_layer`, and `set_attributes`. Minor deviations like `playback_control` and `add_to_render_queue` break the strict pattern but do not harm readability.

    Tool Count3/5

    Eighteen tools is on the heavier side and the count falls in the 16-25 borderline range. The breadth is understandable for a motion-graphics automation bridge, but a few tools could be consolidated, such as merging `get_comp_layers` and `get_selected_layers` or `render_queue` and `add_to_render_queue`.

    Completeness4/5

    The toolset covers the main workflows: scene inspection, layer creation, attribute manipulation, graph connections, animation keyframing, timeline control, and rendering. Obvious gaps like composition management or render queue status checking are missing, but the core lifecycle is well represented for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive

    Resources