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shomechakraborty

Scientific Tools MCP Server

by shomechakraborty
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Python
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    TDQS

    A3.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct scientific domain: analytics (usage/revenue), compound_lookup (chemistry), gpu_spot_prices (cloud compute), literature_search (papers), patent_prior_art_search (patents), and scientific_data (real-time data). No overlap in purpose ensures agents can clearly differentiate.

    Naming Consistency3/5

    Names use underscores but mix noun phrases (analytics, gpu_spot_prices, scientific_data) with noun-verb constructs (compound_lookup, literature_search, patent_prior_art_search). Lacks a uniform verb_noun pattern, causing minor inconsistency.

    Tool Count4/5

    With 6 tools, the server covers a broad range of scientific tasks without overloading. The count feels appropriate for a general-purpose scientific toolkit, though a few more specialized tools could be justified.

    Completeness3/5

    The tool surface touches analytics, chemistry, compute pricing, literature, patents, and real-time data, but lacks common scientific operations like sequence search, unit conversion, or molecular modeling. Some gaps for comprehensive scientific workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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