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YasogaN

Math MCP Server

by YasogaN

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
evaluateA

Evaluates any mathematical expression using mathjs. Supports arithmetic, trigonometry (sin, cos, tan, pi, e), algebra, calculus (derivative, integrate), complex numbers (2+3i), fractions, BigNumber precision (bignumber()), matrices (det, inv, transpose), logic, and units. Use mode='symbolic' for exact symbolic results via Algebrite. Examples: '2^10', 'sin(pi/4)', 'det([[1,2],[3,4]])', 'derivative("x^3", "x")', 'integrate(x^2, x, 0, 1)'

solveA

Solves an equation for a variable. Format equation as 'lhs = rhs' (e.g. 'x^2 - 4 = 0'). Returns all solutions including complex ones. Examples: 'x^2 - 4 = 0' with variable 'x', 'x^3 - 6x^2 + 11x - 6 = 0' with variable 'x'

simplifyA

Simplifies a mathematical expression using mathjs rules. Combines like terms, applies trig identities (sin²+cos²=1), and reduces constants. Examples: 'sin(x)^2 + cos(x)^2', '2x + 3x', '3 + 4 * 2'

factorA

Factors a polynomial expression using Algebrite. Returns the factored form. Examples: 'x^2 - 4' → '(x+2)(x-2)', 'x^3 - 6x^2 + 11*x - 6', '12' → prime factorization

expandB

Expands a factored or compound expression using Algebrite. Examples: '(x+1)^3', '(a+b)(a-b)', '(x+2)(x-2)'

matrixC

Performs matrix operations. Ops: multiply, add, subtract, inverse, transpose, determinant, eigenvalues, eigenvectors, rank, norm, trace, cross (3D vectors), dot (vectors). SVD is not currently supported. Binary ops (multiply/add/subtract) require both 'a' and 'b'. Inputs are 2D number arrays. Examples: op='determinant', a=[[1,2],[3,4]]

statisticsA

Computes descriptive statistics and probability distributions. Descriptive ops use 'data' array: mean, median, mode, std, variance, min, max, sum, quantile (needs args.prob), mad, skewness (n≥3), kurtosis (n≥4). Distribution ops use 'args': normal_pdf/cdf/inv, binomial_pmf/cdf, poisson_pmf/cdf, t_pdf/cdf, chi2_pdf/cdf. Also: linear_regression (uses 'data' as y-values and auto-indexes x as [0,1,2,...,n-1]). Args vary by op — e.g. normal_pdf needs {x, mean, std}, binomial_pmf needs {k, n, p}

unitsA

Converts between units. Format: ' to '. Supported: length (km, miles, m, ft, in), mass (kg, lb, g, oz), temperature (degC, degF, K), pressure (Pa, atm, bar, psi), energy (J, kWh, cal), speed (km/h, mph, m/s), area (m^2, acre, ft^2). Examples: '5 km to miles', '100 degF to degC', '1 atm to Pa'

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
Expression GrammarBNF grammar specification for valid mathematical expressions
Available FunctionsList of all supported mathematical functions grouped by category
Mathematical ConstantsPredefined constants (pi, e, tau, phi, i, etc.)

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