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audiobook_mcp

by maxludden
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Python
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    TDQS

    A4.6/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct operation: job lifecycle, status, boundary inspection/correction, output verification, and metadata handling are all clearly separated. Even similar tools like continue_conversion and run_until_done are explicitly differentiated by chunked vs. looping behavior.

    Naming Consistency5/5

    All tools use the consistent audiobook_ prefix followed by verb_noun snake_case names (start_conversion, get_status, patch_chapter_boundary). This makes the intended action and target resource predictable across the entire toolset.

    Tool Count5/5

    At 15 tools, the server is at the upper end of a well-scoped set, but every tool serves a distinct and necessary purpose in the audiobook pipeline. The count feels appropriate for covering conversion, progress tracking, boundary QA, verification, and metadata enrichment without redundant clutter.

    Completeness5/5

    The toolset provides a complete workflow: inspect EPUB, start/resume/run/cancel jobs, monitor progress, verify output, handle boundary corrections, and fetch/embed cover metadata. There are no obvious dead ends or missing lifecycle operations for the stated audiobook conversion purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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