Math MCP Server

Math MCP Server

A Model Context Protocol server that exposes 8 mathematical tools (arithmetic, algebra, calculus, matrix operations, statistics, probability, unit conversions) to any MCP-compatible AI agent, enabling mathematical computations without code.

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README

@yasogan/math-mcp

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npm version License: MIT Node.js >=18

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A comprehensive Model Context Protocol server that exposes 8 mathematical tools to any MCP-compatible AI agent. Provides arithmetic, symbolic algebra, calculus, matrix operations, statistics, probability distributions, and unit conversions — no code required from the agent side.

Contents


Installation

Using npx (recommended)

No installation required — run directly:

{
  "mcpServers": {
    "math": {
      "command": "npx",
      "args": ["-y", "@yasogan/math-mcp"]
    }
  }
}

Local installation

npm install -g @yasogan/math-mcp
# or
pnpm add -g @yasogan/math-mcp

Then use directly:

{
  "mcpServers": {
    "math": {
      "command": "@yasogan/math-mcp"
    }
  }
}

Client configuration

Client Config Location
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json
OpenCode ~/.opencode/settings.json
Zed ~/.config/zed/settings.json
Cursor ~/.cursor/settings.json

Quick Start

Example prompt to an AI agent:

"What's the determinant of a 3x3 matrix [[1,2,3],[4,5,6],[7,8,9]]?"

The agent will call:

matrix({ op: "determinant", a: [[1,2,3],[4,5,6],[7,8,9]] })

→ Returns 0


Tool Reference

evaluate

Purpose: Evaluate mathematical expressions using either numeric (mathjs) or symbolic (Algebrite) computation.

Parameter Type Required Description
expression string Yes The mathematical expression to evaluate
mode 'numeric' | 'symbolic' No Default: 'numeric' — numeric uses mathjs for floating-point, symbolic uses Algebrite for exact results

Numeric mode examples:

// Arithmetic
evaluate({ expression: "2^10 + sqrt(144)" }); // → 1036
evaluate({ expression: "factorial(10)" }); // → 3628800
evaluate({ expression: "gcd(48, 18)" }); // → 6

// Trigonometry
evaluate({ expression: "sin(pi/6)" }); // → 0.5
evaluate({ expression: "cos(45 deg)" }); // → 0.70710678
evaluate({ expression: "atan2(1, 1)" }); // → 0.78539816

// Complex numbers
evaluate({ expression: "(2+3i)*(1-i)" }); // → 5+i
evaluate({ expression: "abs(3+4i)" }); // → 5

// Matrices
evaluate({ expression: "det([[1,2],[3,4]])" }); // → -2
evaluate({ expression: "inv([[2,0],[0,4]])" }); // → [[0.5,0],[0,0.25]]

// BigNumber precision
evaluate({ expression: "bignumber(2)^100" }); // → 1.2676506002282294e30 (exact)

// Units
evaluate({ expression: "180 km/h to m/s" }); // → 50 m/s

Symbolic mode examples:

// Derivatives (symbolic)
evaluate({ expression: "diff(x^3 + 2*x, x)", mode: "symbolic" }); // → 3*x^2+2

// Integrals (symbolic)
evaluate({ expression: "integrate(x^2, x)", mode: "symbolic" }); // → 1/3*x^3

// Simplification
evaluate({ expression: "expand((x+1)*(x-1))", mode: "symbolic" }); // → x^2-1

solve

Purpose: Solve algebraic equations for a specified variable. Returns all roots including complex ones.

Parameter Type Required Description
equation string Yes Equation containing exactly one = (e.g., "x^2 - 5x + 6 = 0")
variable string Yes Variable to solve for (e.g., "x")

Examples:

// Quadratic equation — returns both roots
solve({ equation: "x^2 - 5x + 6 = 0", variable: "x" });
// → { result: "2, 3", numeric: 2, latex: "x = 2, x = 3" }

// Cubic with complex roots
solve({ equation: "x^3 - 1 = 0", variable: "x" });
// → { result: "1, (-0.5)+(-0.8660254037844386*i), (-0.5)+(0.8660254037844386*i)", ... }

// Find specific root
solve({ equation: "x^2 - 4 = 0", variable: "x" });
// → { result: "2, -2", numeric: 2, latex: "x = 2, x = -2" }

Constraints:

  • Only polynomial equations supported
  • Exactly one = required
  • No inequalities (<, >, <=, >=)

simplify

Purpose: Simplify algebraic expressions using mathematical rules (combine like terms, evaluate constants, apply trig identities).

Parameter Type Required Description
expression string Yes Expression to simplify

Examples:

simplify({ expression: "sin(x)^2 + cos(x)^2" }); // → 1
simplify({ expression: "2*x + 3*x" }); // → 5*x
simplify({ expression: "3 + 4 * 2" }); // → 11
simplify({ expression: "(x+1)^2 - (x^2 + 2*x + 1)" }); // → 0
simplify({ expression: "exp(ln(x))" }); // → x

factor

Purpose: Factor polynomial expressions into irreducible components.

Parameter Type Required Description
expression string Yes Expression to factor

Examples:

factor({ expression: "x^2 - 4" }); // → (x+2)*(x-2)
factor({ expression: "x^3 - 6*x^2 + 11*x - 6" }); // → (x-1)*(x-2)*(x-3)
factor({ expression: "12" }); // → 2^2*3
factor({ expression: "x^2 + 5*x + 6" }); // → (x+2)*(x+3)
factor({ expression: "a^2 - b^2" }); // → (a+b)*(a-b)

expand

Purpose: Expand factored or compound expressions into polynomial form.

Parameter Type Required Description
expression string Yes Expression to expand

Examples:

expand({ expression: "(x+1)^3" }); // → x^3+3*x^2+3*x+1
expand({ expression: "(a+b)*(a-b)" }); // → a^2-b^2
expand({ expression: "(x+2)*(x-2)" }); // → x^2-4
expand({ expression: "2*(x+y)" }); // → 2*x+2*y

matrix

Purpose: Perform matrix and vector operations.

Parameter Type Required Description
op string Yes Operation name
a number[][] Yes First matrix/vector
b number[][] No Second matrix/vector (required for binary ops)

Supported operations:

Operation Description Requires b?
multiply Matrix multiplication A × B Yes
add Matrix addition A + B Yes
subtract Matrix subtraction A - B Yes
inverse Matrix inverse A⁻¹ No
transpose Matrix transpose Aᵀ No
determinant Determinant |A| No
eigenvalues Eigenvalues of A No
eigenvectors Eigenvectors of A No
rank Matrix rank No
norm Frobenius norm ‖A‖ No
trace Matrix trace No
dot Dot product of vectors Yes
cross Cross product of 3D vectors Yes

Examples:

// Determinant
matrix({
  op: "determinant",
  a: [
    [1, 2],
    [3, 4],
  ],
});
// → -2

// Inverse
matrix({
  op: "inverse",
  a: [
    [4, 7],
    [2, 6],
  ],
});
// → [[0.6,-0.7],[-0.2,0.4]]

// Eigenvalues
matrix({
  op: "eigenvalues",
  a: [
    [2, 1],
    [1, 2],
  ],
});
// → [3, 1]

// Matrix multiplication
matrix({
  op: "multiply",
  a: [
    [1, 2],
    [3, 4],
  ],
  b: [
    [5, 6],
    [7, 8],
  ],
});
// → [[19,22],[43,50]]

// Dot product
matrix({ op: "dot", a: [[1, 2, 3]], b: [[4, 5, 6]] });
// → 32

// Cross product (3D vectors)
matrix({ op: "cross", a: [[1, 0, 0]], b: [[0, 1, 0]] });
// → [0, 0, 1]

Note: SVD is not supported. Use eigenvalues for similar decomposition.


statistics

Purpose: Descriptive statistics, probability distributions, and linear regression.

Parameter Type Required Description
op string Yes Operation name
data number[] Conditional* Array of numbers (required for descriptive stats & regression)
args object Conditional* Distribution parameters (required for distributions)

Descriptive operations (use data):

Operation Description Notes
mean Arithmetic mean
median Median value
mode Most frequent value Returns first if multiple
std Sample standard deviation Uses n-1 denominator
variance Sample variance Uses n-1 denominator
min Minimum value
max Maximum value
sum Sum of all values
quantile Quantile value Requires args.prob (default 0.5)
mad Median absolute deviation
skewness Sample skewness Requires n ≥ 3
kurtosis Sample kurtosis Requires n ≥ 4

Distribution operations (use args):

Operation Parameters Description
normal_pdf x, mean, std Probability density
normal_cdf x, mean, std Cumulative distribution
normal_inv p, mean, std Inverse CDF (quantile)
binomial_pmf k, n, p Probability mass
binomial_cdf k, n, p Cumulative distribution
poisson_pmf k, lambda Probability mass
poisson_cdf k, lambda Cumulative distribution
t_pdf x, df Student's t PDF
t_cdf x, df Student's t CDF
chi2_pdf x, df Chi-squared PDF
chi2_cdf x, df Chi-squared CDF

Regression operations (use data):

Operation Description
linear_regression Simple linear regression (y = mx + b), x auto-indexed as [0,1,2,...]

Examples:

// Descriptive statistics
statistics({ op: "mean", data: [4, 8, 15, 16, 23, 42] }); // → 18

// Standard deviation
statistics({ op: "std", data: [2, 4, 4, 4, 5, 5, 7, 9] });
// → 2.138

// Quantile (75th percentile)
statistics({ op: "quantile", data: [1, 2, 3, 4, 5], args: { prob: 0.75 } });
// → 4

// Normal PDF
statistics({
  op: "normal_pdf",
  args: { x: 0, mean: 0, std: 1 },
});
// → 0.398942

// Normal CDF (probability below z-score)
statistics({
  op: "normal_cdf",
  args: { x: 1.96, mean: 0, std: 1 },
});
// → 0.975

// Inverse normal (find z-score for 97.5th percentile)
statistics({
  op: "normal_inv",
  args: { p: 0.975, mean: 0, std: 1 },
});
// → 1.959964

// Binomial probability (exactly 3 heads in 10 flips)
statistics({
  op: "binomial_pmf",
  args: { k: 3, n: 10, p: 0.5 },
});
// → 0.117188

// Poisson (events in time interval)
statistics({
  op: "poisson_pmf",
  args: { k: 3, lambda: 2 },
});
// → 0.180447

// Linear regression
statistics({
  op: "linear_regression",
  data: [2, 4, 6, 8, 10],
});
// → { slope: 2, intercept: 0 }

units

Purpose: Convert between physical units of the same dimension.

Parameter Type Required Description
expression string Yes Format: '<value> <unit> to <unit>'

Supported unit categories:

Category Units
Length km, m, cm, mm, mi, yards, ft, in, nmi
Mass kg, g, mg, lb, oz, ton
Temperature degC, degF, K, rank
Pressure Pa, kPa, MPa, bar, atm, psi
Energy J, kJ, cal, kcal, Wh, kWh
Speed m/s, km/h, mph, knots, ft/s
Area m2, km2, ha, acre, ft2, mi2
Volume L, mL, gal, qt, pt, cup, fl oz
Time s, min, h, day, week, year

Examples:

units({ expression: "5 km to miles" }); // → 3.10686 miles
units({ expression: "100 degF to degC" }); // → 37.7778 degC
units({ expression: "1 atm to Pa" }); // → 101325 Pa
units({ expression: "60 mph to km/h" }); // → 96.5606 km/h
units({ expression: "1000 kg to lb" }); // → 2204.62 lb
units({ expression: "1 year to days" }); // → 365.242 days

Expression Syntax Guide

Arithmetic Operators

Symbol Operation Example
+ Addition 2 + 3 → 5
- Subtraction 7 - 4 → 3
* Multiplication 6 * 8 → 48
/ Division 15 / 3 → 5
^ Exponentiation 2^10 → 1024
% Modulo 17 % 5 → 2

Functions

sqrt(x); // Square root
abs(x); // Absolute value
log(x); // Natural logarithm
log10(x); // Base-10 logarithm
exp(x); // e^x
factorial(n); // n!
gcd(a, b); // Greatest common divisor
lcm(a, b); // Least common multiple
floor(x); // Round down
ceil(x); // Round up
round(x); // Round to nearest

Trigonometry

(sin(x), cos(x), tan(x)); // Standard functions
(asin(x), acos(x), atan(x)); // Inverses
atan2(y, x); // Two-argument atan
(sinh(x), cosh(x), tanh(x)); // Hyperbolic
(deg, rad); // Unit conversion

Constants

pi; // 3.14159...
e; // 2.71828...
i; // Imaginary unit

Special Values

(Infinity, -Infinity);
NaN;

Development

# Install dependencies
pnpm install

# Build TypeScript
pnpm build

# Run tests
pnpm test

# Run in development (no build required)
pnpm dev

# Run in development with watch
pnpm test:watch

Tech stack: TypeScript, MCP SDK, mathjs, Algebrite, Vitest


License

MIT

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