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BlackMount-ai

blackmount-nlp-mcp

by BlackMount-ai
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Python
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    Deploy Server
    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

    B3.1/5.0

    Scored across 45 tools

    Disambiguation3/5

    Many tools have clear purposes, but multiple readability indices (ARI, Coleman-Liau, Flesch, etc.) and multiple sentiment tools (aspect, sentence, overall) overlap in function, creating confusion for agents.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (e.g., clean_lowercase, get_cosine_similarity), but some use different verbs like 'detect_text_encoding_type' vs 'check_is_english', with minor inconsistency.

    Tool Count3/5

    45 tools is on the high side for an NLP toolkit; many functionalities could be consolidated (e.g., several readability formulas into one tool). Still, each individual tool is specific.

    Completeness4/5

    The server covers a wide range of text analysis: cleaning, tokenization, readability, similarity, sentiment, keyword extraction, language detection. Missing lemmatization, but comprehensive overall.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources