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r-stats-mcp

by Ian3738
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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

    A3.8/5.0

    Scored across 33 tools

    Disambiguation4/5

    Most tools are clearly separated by domain (data_, test_, model_, survey_), and the survey_* tools are well distinguished by their design-corrected standard errors. However, check_assumptions and model_diagnostics overlap heavily when given a fitted model: both report residual normality, Breusch-Pagan, Durbin-Watson, VIF and the diagnostic plots, which could lead an agent to pick the wrong tool.

    Naming Consistency4/5

    The set uses snake_case throughout and useful prefixes (data_, test_, model_, survey_) give a predictable pattern. It is not perfect: r_session_info vs session_clear splits the r_/session_ prefix, and a few commands are bare nouns (describe, correlation, sem, plot) rather than verb_noun forms.

    Tool Count2/5

    33 tools is well above the 25+ threshold and will burden an agent with a very large action space. Each tool is individually defensible for a broad statistics server, but the set could be consolidated—for example, survey_mean, survey_regression and survey_correlation share a lot of design specification boilerplate.

    Completeness5/5

    The surface is remarkably complete: data ingestion/inspection/transform/export, descriptives, common tests, regression with diagnostics/comparison/prediction, survey methods, psychometrics, SEM, mediation/moderation, survival and time series are all covered. The r_run escape hatch also prevents dead ends for any analysis the structured tools do not anticipate.

    Resources