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maki198906

Text Processor MCP

by maki198906
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Python

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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

    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

    ActivityInactive
    ResponsivenessNo issues

    Resources