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emmanueltsallis

econ-r-mcp

by emmanueltsallis
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    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

    B3.4/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool targets a specific econometric method or workflow step, with no overlapping purposes. The run_* tools are clearly differentiated by method (DiD, IV, panel diagnostics, RD, fixest regression, time series diagnostics, generic R script), and all other tools serve distinct roles like project setup, data inspection, artifact management, and reporting.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case. Verbs like create, init, inspect, install, list, lookup, read, render, reproduce, and run are appropriately paired with nouns. Even 'health_check' can be seen as a noun phrase but functions as a verb, and the pattern is uniform across the set.

    Tool Count5/5

    Seventeen tools is well-suited for an econometrics-focused MCP server. The count covers essential workflow stages—project setup, data inspection, package management, multiple econometric methods, diagnostics, model summary, artifact handling, reproducibility, and reporting—without being excessive or sparse.

    Completeness4/5

    The tool surface covers a broad range of econometric methods (DiD, IV, RD, panel diagnostics, time series diagnostics, fixest regression) and supporting tasks. Minor gaps exist, such as no dedicated tool for basic OLS regression (though fixest can handle it) or data transformation, but overall the set is comprehensive for its stated domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources