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mathmethods-mcp

by agmonetti
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Python
Hybrid

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    TDQS

    A3.5/5.0

    Scored across 29 tools

    Disambiguation4/5

    Most tools target distinct numerical methods (e.g., root_bisection vs root_newton_raphson), but the dynamic_2d_* group has several linear-system solvers that could be confused, and mc_valor_promedio_1d vs mc_hit_or_miss_1d require close reading. Overall, descriptions disambiguate well.

    Naming Consistency3/5

    Names follow a prefix-per-domain pattern (integral_, root_, ode_, mc_, dynamic_), but mix English and Spanish (e.g., integral_trapecio, mc_valor_promedio_1d, root_punto_fijo) and use inconsistent suffixes (solve, comparar, 1d, 13). This makes the set feel less predictable.

    Tool Count2/5

    29 tools is well above the typical coherent range; many are variations of the same computation (6 Monte Carlo integration tools, 5 root finders, 5 integration rules). The breadth is large, but most tools could be consolidated without losing functionality.

    Completeness4/5

    The surface covers numerical integration, root finding, ODE solvers, interpolation, finite differences, Monte Carlo, and 1D/2D dynamical systems. Minor gaps exist (e.g., no linear algebra solvers or optimization), but the core methods for the apparent scope are present.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources