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Cueprecise

Cueprecise

by Nattentia
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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

    A3.5/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct lifecycle operation: registration, status, outline, query, excerpt, summary, frame extraction, save operations, and purge. The only close pairs (summary/set_summary and excerpt/frames) are clearly separated by read vs write/generate semantics in their descriptions.

    Naming Consistency4/5

    All names share the cueprecise_ prefix and use snake_case, and set_* is consistently used for write/validation tools. However the stems mix noun-style names (status, outline, summary, frames) with verb-style names (register, query, purge, excerpt), so the pattern is consistent but not a uniform verb_noun convention.

    Tool Count5/5

    Ten tools is well-scoped for a video analysis and retrieval server. Each tool covers a necessary part of the pipeline without redundant entries.

    Completeness5/5

    The set provides full lifecycle coverage: register creates and runs the pipeline, status monitors it, outline/query/excerpt/frames/summary cover reading and retrieval, set_summary and set_chapter_titles cover updates, and purge covers deletion with granular scopes. No critical dead-end or missing operation is apparent.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

    Resources