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Guillain-RDCDE

trusted-transcription

by Guillain-RDCDE
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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

    A4.1/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool maps to a distinct stage in the transcription workflow: transcribe, detect hallucinations, repair, score, and estimate cost. There is no functional overlap or ambiguity about which tool to select.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (detect_hallucinations, estimate_cost), while transcribe, repair, and score are single verbs. The naming is still consistent in style and domain, with no mixed casing or confusing variations.

    Tool Count5/5

    Five tools is well-scoped for an audio transcription quality pipeline. Each tool serves a clear purpose and the set is neither bloated nor thin.

    Completeness4/5

    The toolset covers the full core pipeline: transcription, hallucination detection, LLM-based repair, quality scoring, and cost estimation. A minor gap is the lack of separate transcript retrieval or manual editing tools, but repair covers corrections reasonably.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources