Math MCP Learning

clouatre-labs/math-mcp-learning-server

Built for teaching math concepts through Claude, this exposes 17 tools split across basic calculations, matrix operations, and matplotlib visualizations. You get persistent workspace storage so students can save and reload their work between sessions, plus structured tutoring prompts and formula explainers. The eval safety model whitelists math module functions only. Includes statistical analysis (mean, median, variance), unit conversions, compound interest calculators, and full matrix ops (multiply, transpose, determinant, eigenvalues). Ships with cloud hosting at math-mcp.fastmcp.app or runs locally via uvx. Designed for educational workflows where you want Claude to walk through problem solving with actual computation and visual output, not just explanation.

GitHub stars: 5
tools: 17
transport: STDIO, HTTP
last updated: Sep 1, 2026

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Install

From registry metadata

$ npx add-mcp https://math-mcp.fastmcp.app/mcp --name math-mcp-learning-server

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

$ claude mcp add --transport http math-mcp-learning-server https://math-mcp.fastmcp.app/mcp

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 17 tools

Verified live against the running server on Nov 6, 2026.

calc_expressionSafely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: sin, cos, tan, log, sqrt, abs, pow1 params

Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: sin, cos, tan, log, sqrt, abs, pow

Parameters* required

expression*string

Mathematical expression to evaluate. Supports +, -, *, /, **, and math functions (sin, cos, sqrt, log, etc.). Example: '2 * sin(pi/4) + sqrt(16)'

calc_statisticsPerform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance2 params

Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance

Parameters* required

numbers*array

List of numbers to compute descriptive statistics on. Example: [1.0, 2.5, 3.0, 4.5, 5.0]

operation*string

Statistical operation to perform. Allowed values: mean, median, mode, std_dev, variance

calc_interestCalculate compound interest for investments. Formula: A = P(1 + r/n)^(nt) Where: - P = principal amount - r = annual interest rate (as decimal) - n = number of times interest compounds per year - t = time in years4 params

Calculate compound interest for investments. Formula: A = P(1 + r/n)^(nt) Where: - P = principal amount - r = annual interest rate (as decimal) - n = number of times interest compounds per year - t = time in years

Parameters* required

compounds_per_yearinteger

Compounding frequency per year (must be > 0): 12=monthly, 365=dailydefault: 12

principal*number

Initial investment amount in dollars (must be > 0), e.g. 1000.0

rate*number

Annual interest rate as decimal 0.0-1.0 (e.g. 0.05 = 5%). If entering a percentage, divide by 100 first.

time*number

Investment time in years (must be > 0), e.g. 10.0

calc_unitsConvert between different units of measurement. Supported unit types: - length: mm, cm, m, km, in, ft, yd, mi - weight: g, kg, oz, lb - temperature: c, f, k (Celsius, Fahrenheit, Kelvin)4 params

Convert between different units of measurement. Supported unit types: - length: mm, cm, m, km, in, ft, yd, mi - weight: g, kg, oz, lb - temperature: c, f, k (Celsius, Fahrenheit, Kelvin)

Parameters* required

from_unit*string

Source unit abbreviation. Valid units depend on unit_type: length (mm, cm, m, km, in, ft, yd, mi), weight (g, kg, oz, lb), temperature (c, f, k)

to_unit*string

Target unit abbreviation. Valid units depend on unit_type: length (mm, cm, m, km, in, ft, yd, mi), weight (g, kg, oz, lb), temperature (c, f, k)

unit_type*string

Unit category: length, weight, or temperature

value*number

Numeric value to convert, e.g., 100.0

matrix_multiplyMultiply two matrices (A × B).2 params

Multiply two matrices (A × B).

Parameters* required

matrix_a*array

2D list of numbers representing the first matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]

matrix_b*array

2D list of numbers representing the second matrix. Each inner list is a row. Example: [[5, 6], [7, 8]]

matrix_transposeTranspose a matrix (swap rows and columns).1 params

Transpose a matrix (swap rows and columns).

Parameters* required

matrix*array

2D list of numbers representing the matrix. Each inner list is a row. Example: [[1, 2, 3], [4, 5, 6]]

matrix_determinantCalculate the determinant of a square matrix.1 params

Calculate the determinant of a square matrix.

Parameters* required

matrix*array

2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]

matrix_inverseCalculate the inverse of a square matrix.1 params

Calculate the inverse of a square matrix.

Parameters* required

matrix*array

2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]

matrix_eigenvaluesCalculate the eigenvalues of a square matrix.1 params

Calculate the eigenvalues of a square matrix.

Parameters* required

matrix*array

2D list of numbers representing a square matrix. Each inner list is a row. Example: [[4, 2], [1, 3]]

workspace_saveSave calculation to persistent workspace (survives restarts).3 params

Save calculation to persistent workspace (survives restarts).

Parameters* required

expression*string

The mathematical expression that was evaluated. Example: 'pi * r**2'

name*string

Variable name for the saved calculation. Used to retrieve it later. Example: 'circle_area'

result*number

Numeric result of evaluating the expression, e.g., 78.54

workspace_loadLoad previously saved calculation result from workspace.1 params

Load previously saved calculation result from workspace.

Parameters* required

name*string

Name of the variable to load from workspace, e.g., 'circle_area'

plot_functionGenerate mathematical function plots (requires matplotlib).3 params

Generate mathematical function plots (requires matplotlib).

Parameters* required

expression*string

Mathematical expression to plot, e.g., "x**2" or "sin(x)". Must be <= MAX_EXPRESSION_LENGTH characters. Example: "x**2"

num_pointsinteger

Number of sample points to plot along x_range, e.g., 100default: 100

x_range*array

X-axis range as (min, max), e.g., (-5.0, 5.0)

plot_histogramCreate statistical histograms (requires matplotlib).3 params

Create statistical histograms (requires matplotlib).

Parameters* required

binsinteger

Number of histogram bins, e.g., 20default: 20

data*array

List of numeric values to bin, e.g., [1.0, 2.0, 2.5, 3.0]

titlestring

Chart title string, e.g., 'Data Distribution'default: Data Distribution

plot_line_chartCreate a line chart from data points (requires matplotlib).7 params

Create a line chart from data points (requires matplotlib).

Parameters* required

colorvalue

Line color (name or hex code, e.g., 'blue', '#2E86AB')

show_gridboolean

Whether to display grid linesdefault: true

titlestring

Chart title string, e.g., 'Squares'default: Line Chart

x_data*array

X-axis data points, e.g., [1, 2, 3, 4]

x_labelstring

X-axis label, e.g., 'Time'default: X

y_data*array

Y-axis data points, e.g., [1, 4, 9, 16]

y_labelstring

Y-axis label, e.g., 'Distance'default: Y

plot_scatterCreate a scatter plot from data points (requires matplotlib).7 params

Create a scatter plot from data points (requires matplotlib).

Parameters* required

colorvalue

Point color (name or hex code, e.g., 'blue', '#2E86AB')

point_sizeinteger

Scatter point size in points^2, e.g., 50default: 50

titlestring

Chart title string, e.g., 'Correlation Study'default: Scatter Plot

x_data*array

X-axis data points, e.g., [1, 2, 3, 4]

x_labelstring

X-axis label, e.g., 'Variable X'default: X

y_data*array

Y-axis data points, e.g., [1, 4, 9, 16]

y_labelstring

Y-axis label, e.g., 'Variable Y'default: Y

plot_box_plotCreate a box plot for comparing distributions (requires matplotlib).5 params

Create a box plot for comparing distributions (requires matplotlib).

Parameters* required

colorvalue

Box color (name or hex code, e.g., 'blue', '#2E86AB')

data_groups*array

List of data groups to compare, e.g., [[1, 2, 3], [4, 5, 6]]

group_labelsvalue

Labels for each group, e.g., ['Group A', 'Group B']

titlestring

Chart title string, e.g., 'Distribution Comparison'default: Box Plot

y_labelstring

Y-axis label, e.g., 'Values'default: Values

plot_financial_lineGenerate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.4 params

Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.

Parameters* required

colorvalue

Line color (name or hex code, e.g., 'blue', '#2E86AB')

daysinteger

Number of days to generate, e.g., 30default: 30

start_pricenumber

Starting price value, e.g., 100.0default: 100

trendstring

Market trend directiondefault: bullish

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