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jieba-mcp

jieba-mcp

by BACH-AI-Tools
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool maps to a distinct operation: segmentation, keyword extraction, POS tagging, dictionary mutation, and script conversion. The only slight overlap is between segment and pos_tag, since POS tagging also returns segmentation, but the descriptions make the added value clear. add_user_words is explicitly framed as a stateful modifier of the other three, which prevents confusion.

    Naming Consistency4/5

    All names are snake_case and verb-led (segment, extract_keywords, pos_tag, add_user_words, convert_chinese), forming a readable pattern. The minor deviation is `segment`, a bare verb with no object, while the others are verb_noun. That is easily understood in context and does not impair selection.

    Tool Count5/5

    Five tools cleanly cover the scope of a jieba wrapper without redundancy. Every tool earns its place: three text-analysis operations, one configuration hook, and one conversion utility. Nothing feels bolted on or missing at the structural level.

    Completeness4/5

    The core jieba surface is covered: segmentation, keyword extraction, POS tagging, and user dictionary insertion, plus a useful Simplified/Traditional converter. Minor gaps remain, such as no search-engine-mode segmentation, no way to list or remove user words, and no confidence weights on keywords, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources