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anonymize-mcp

by Buggy1111

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      Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.
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    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a unique, well-defined purpose: morphological analysis, anonymization, readability checking, text correction, entity extraction, and translation. There is no overlap in functionality, and descriptions clearly differentiate them.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (analyze_morphology, check_readability, correct_text, extract_entities, translate_text), while 'anonymize' is a standalone verb. This minor inconsistency does not hinder understanding.

    Tool Count5/5

    With 6 tools, the server covers essential NLP tasks for Czech legal texts without being over- or under-scoped. Each tool earns its place.

    Completeness4/5

    The toolset provides a comprehensive pipeline for processing legal texts (analysis, correction, anonymization, translation, entity extraction, readability). Minor gaps like summarization exist, but core workflows are well covered.

    Maintenance

    ActivityStale
    ResponsivenessNo issues