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MazenAbbas

arabic-nlp-mcp

by MazenAbbas

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    TDQS

    B3.3/5.0

    Scored across 2 tools

    Disambiguation4/5

    The two tools have distinct purposes: one performs general normalization with controllable Unicode rules, while the other is specifically for preparing text for search/RAG/deduplication with richer output. There is some conceptual overlap since both involve normalization, but the names and descriptions clearly differentiate the more fundamental operation from the higher-level preparation pipeline.

    Naming Consistency5/5

    Both tool names follow a consistent 'arabic_<action>' snake_case pattern, with a clear verb indicating the operation. The prefix 'arabic_' also makes the domain obvious, and the naming style is uniform across the set.

    Tool Count3/5

    With only two tools, the server feels thin for a general Arabic NLP package. However, the two tools form a coherent pair that could be sufficient for a narrowly focused normalization and search-preparation use case.

    Completeness3/5

    The tools cover a normalization-to-search-preparation workflow with outputs like tokens, fingerprints, and audit trails, which addresses common RAG/deduplication needs. Missing are other typical Arabic NLP operations such as stemming, transliteration, named-entity recognition, or morphological analysis, leaving the server somewhat incomplete for a broader NLP scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues