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Companion Animation Pipeline MCP Server

by arabianguy08
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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

    B3.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    Tools are mostly distinct, but pipeline_status and job_status both report status at different scopes, and blender_script vs pipeline_run may be confused by an agent deciding between custom scripting and managed stages. Descriptions clarify the intended separation, but the overlap prevents perfect clarity.

    Naming Consistency4/5

    All names use snake_case consistently, with readable prefixes such as pipeline_* and job_*. However the set mixes noun-first names (environment_info, pipeline_status) with verb-first names (record_review, diagnose_stage, view_artifact), so the pattern is not fully uniform.

    Tool Count5/5

    Nine tools is well-scoped for an animation pipeline: setup, execution, monitoring, review, diagnosis, and artifact viewing each have a clear place. The count avoids both thinness and bloat.

    Completeness3/5

    The core pipeline lifecycle is covered, but pipeline_status references pending calibration while no tool records or resolves calibration. There is also no explicit stop/cancel for background jobs or cleanup/reset operation, creating potential dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources