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Voxtract

by HiteSit
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Python
Local

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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

    A4.2/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool targets a distinct stage of the transcription workflow: configuration (workdir, context bias, language), staging (inbox, sessions, transcription), and finalization (recordings, transcripts). Even the two transcript readers are clearly differentiated by staging vs finalized context.

    Naming Consistency4/5

    Most tools follow a consistent mistral_verb_noun pattern (e.g., get_workdir, set_language, list_sessions). However, transcribe and finalize are bare verbs, and save_processed uses an adjective, which slightly breaks the pattern.

    Tool Count4/5

    16 tools is just above the typical well-scoped range of 3-15, but each tool earns its place in the transcription pipeline. The count feels slightly heavy but not bloated.

    Completeness4/5

    The tool set covers the full lifecycle from inbox to finalized recording, with configuration options and staging review. Minor gaps exist (e.g., no explicit session deletion or transcript editing), but these can be worked around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources