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OuchiniKaeru

MCP Data Analyzer

by OuchiniKaeru
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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

    A3.5/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: load_file is for loading data files into DataFrames, while run_script is for executing Python scripts for analytics tasks. There is no overlap in functionality or ambiguity about when to use each tool.

    Naming Consistency4/5

    Both tools use snake_case naming, which is consistent. However, load_file follows a verb_noun pattern while run_script uses verb_noun, but the noun 'script' is less specific than 'file', creating a minor deviation in clarity. Overall, the naming is mostly predictable and readable.

    Tool Count2/5

    With only 2 tools, the server feels severely under-scoped for a 'Data Analyzer' purpose. Key operations like data transformation, filtering, aggregation, or visualization-specific tools are missing, making it inadequate for comprehensive data analysis workflows.

    Completeness2/5

    The tool set is significantly incomplete for data analysis. While loading and script execution are covered, there are major gaps: no tools for data cleaning, transformation, statistical analysis, or dedicated visualization. This will likely cause agent failures when trying to perform common analytics tasks beyond basic loading and scripting.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources