Math MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| resources | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| 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
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Expression Grammar | BNF grammar specification for valid mathematical expressions |
| Available Functions | List of all supported mathematical functions grouped by category |
| Mathematical Constants | Predefined constants (pi, e, tau, phi, i, etc.) |
TDQS
Scored across 8 tools
Most tools have distinct purposes: evaluate for general evaluation, expand for expansion, factor for factoring, etc. However, evaluate is quite broad and could be confused with simplify or expand for certain expressions, though descriptions mitigate this.
Tool names are all single words but lack a consistent pattern: some are verbs (evaluate, expand, factor, simplify, solve), while others are nouns (matrix, statistics, units). The naming is readable but not uniform.
With 8 tools covering arithmetic, algebra, matrices, statistics, and unit conversion, the count feels well-scoped for a math server. Each tool serves a clear purpose without redundancy.
The tool set covers core mathematical operations including symbolic manipulation, matrix operations, statistics, and units. Minor gaps exist, such as no dedicated tool for solving systems of equations or advanced calculus like limits, but agents can often work around these using existing tools.