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casefile-mcp

by asrgrimmi-cyber
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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

    B3.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools are clearly distinct: probe, chart_extract, contact_sheet, tts, plan, and render each serve different pipeline stages. find_text, ocr_region, and track_text overlap around OCR but differ by output and granularity, so minor confusion is possible.

    Naming Consistency3/5

    All names use lowercase snake_case, but the set mixes bare verbs (probe, plan, render), verb_noun names (find_text, track_text), and noun/acronym names (contact_sheet, tts). The pattern is readable but not fully predictable.

    Tool Count5/5

    9 tools is well-scoped for a video analysis and rendering pipeline. Each tool maps to a meaningful operation rather than feeling redundant or excessive.

    Completeness4/5

    The surface covers analysis, text/chart extraction, visual inspection, narration, validation, and rendering, which is a solid lifecycle. Minor gaps exist around audio transcription or direct spec-building/editing, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources