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maki198906

Text Processor MCP

by maki198906
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Python

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    • mcp-textstats

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      Provides text analysis tools including TF-IDF document search and text profiling (sentiment, readability, keywords) for analyzing text corpora through structured MCP interfaces.
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    TDQS

    A3.5/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have distinct purposes, but analyze_text is generic and could potentially overlap with other tools like check_reading_level or readability_tips. However, descriptions clarify outputs, so confusion is minimal.

    Naming Consistency4/5

    The naming pattern is mostly verb_noun (e.g., extract_keywords, check_spelling), but readability_tips deviates by using a noun phrase instead of a verb. This is a minor inconsistency.

    Tool Count5/5

    With 9 tools, the count is well within the typical 3-15 range and each tool serves a clear text processing function without being excessive.

    Completeness4/5

    The set covers a broad range of text processing tasks including analysis, keywords, sentiment, language detection, summarization, and readability. It lacks some possible features like translation or text generation, but for the stated purpose it is quite comprehensive.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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