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Trans MCP Server

by zhang452064326
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Python
Hybrid

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    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

    A4/5.0

    Scored across 23 tools

    Disambiguation4/5

    Most tools map cleanly to distinct resource/action pairs: document vs video, status vs result vs wait, translate vs rewrite. A few pairs—wait_for_translation/get_document_translation_status and get_document_translation_by_batch/get_document_translation_status—could be confused at a glance, but the descriptions draw explicit usage boundaries.

    Naming Consistency5/5

    All tool names use snake_case with clear verb prefixes: get_, list_, upload_, translate_, calculate_, wait_for_, cancel_, rewrite_, check_, probe_. Even longer names like get_document_translation_by_batch follow the same get_<resource>_<detail> pattern.

    Tool Count3/5

    With 23 tools, the set is at the heavy end, though the domain genuinely spans document translation, video translation, OCR detection, quota estimation, upload, waiting, and rewriting. Most tools earn their place, but status/wait pairs and list/batch lookups introduce some redundancy that could be consolidated.

    Completeness5/5

    The tool surface covers the full document and video translation lifecycle: upload, submit, OCR detection, quota estimation, status polling, waiting, result download, listing, cancellation, and subtitle rewriting. There are no obvious dead ends for the stated translation-focused purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources