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.
README
@yasogan/math-mcp
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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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