Math MCP Server
# @yasogan/math-mcp
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[](https://www.npmjs.com/package/@yasogan/math-mcp)
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A comprehensive [Model Context Protocol](https://modelcontextprotocol.io) 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](#installation)
- [Quick Start](#quick-start)
- [Tool Reference](#tool-reference)
- [evaluate](#evaluate)
- [solve](#solve)
- [simplify](#simplify)
- [factor](#factor)
- [expand](#expand)
- [matrix](#matrix)
- [statistics](#statistics)
- [units](#units)
- [Expression Syntax Guide](#expression-syntax-guide)
- [Development](#development)
---
## Installation
### Using npx (recommended)
No installation required — run directly:
```json
{
"mcpServers": {
"math": {
"command": "npx",
"args": ["-y", "@yasogan/math-mcp"]
}
}
}
```
### Local installation
```bash
npm install -g @yasogan/math-mcp
# or
pnpm add -g @yasogan/math-mcp
```
Then use directly:
```json
{
"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:**
```javascript
// 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:**
```javascript
// 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:**
```javascript
// 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:**
```javascript
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:**
```javascript
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:**
```javascript
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:**
```javascript
// 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:**
```javascript
// 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:**
```javascript
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
```javascript
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
```javascript
(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
```javascript
pi; // 3.14159...
e; // 2.71828...
i; // Imaginary unit
```
### Special Values
```javascript
(Infinity, -Infinity);
NaN;
```
---
## Development
```bash
# 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](https://mathjs.org), [Algebrite](http://algebrite.org), Vitest
---
## License
MIT
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.