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spss-studio-mcp

spss-studio-mcp

by CongJyu
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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

    B3.2/5.0

    Scored across 51 tools

    Disambiguation4/5

    Most tools target clearly distinct SPSS procedures, file operations, or chart types. A few pairs overlap in practice (spss_list_variables vs spss_read_metadata, spss_chart_histogram vs spss_chart_histogram_density, spss_chart_bar vs spss_chart_bar_error), but descriptions generally clarify the boundaries.

    Naming Consistency5/5

    All tools use a consistent spss_ snake_case prefix, with chart tools grouped under spss_chart_*. The naming is uniform and predictable across file I/O, statistical procedures, and chart exports.

    Tool Count2/5

    51 tools is excessive for agent selection and tool management. While SPSS is a broad domain, many tools could be consolidated, especially the 12 chart-export tools and the family of regression/GLM procedures.

    Completeness4/5

    The surface covers data discovery, metadata inspection, import, syntax execution, a wide range of statistical analyses, and chart exports. Dedicated data-manipulation tools (recode, compute, merge, select cases) are absent, but spss_run_syntax provides a workaround.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

    Resources