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axiomatic-mcp

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by Axiomatic-AI
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Python
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    TDQS

    B3.4/5.0

    Scored across 23 tools

    Disambiguation2/5

    Multiple 'report_feedback' tools (7 total) across different subsystems all perform the same function, creating ambiguity about which to call after a given tool. 'generate_code' and 'execute_code' tools also overlap across subsystems (AxArgmin vs AxModelFitterV2). AxModelFitter and AxModelFitterV2 have overlapping purposes.

    Naming Consistency5/5

    All tools follow a consistent 'Ax[Subsystem]_[action]' pattern with snake_case verbs (e.g., AxModelFitter_fit_model, AxPlotToData_extract_numerical_series). No mixing of conventions across the entire tool set.

    Tool Count3/5

    23 tools is on the high side for a coherent server. The count is inflated by 7 nearly identical 'report_feedback' tools and duplicate 'execute_code' tools, suggesting poor scoping. However, the core capabilities (fitting, plotting, equation, document) could justify around 15-20 tools.

    Completeness3/5

    Model fitting has comprehensive diagnostics (R², AIC, cross-validation, covariance), but there are notable gaps: no data preprocessing, no visualization, and the two fitting workflows (direct fit via AxModelFitter vs code generation via AxModelFitterV2) are redundant. Equation and document tools are sparse.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources