Math MCP Learning

Measured conclusion: Deep-tested. L2 outcome: tools_ok.

Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

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{
  "mcpServers": {
    "Math MCP Learning": {
      "url": "https://math-mcp.fastmcp.app/mcp",
      "transport": "streamable-http"
    }
  }
}

Measured tools (17)

• calc_expression read-only

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

  Parameters:

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

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• calc_statistics read-only

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

  Parameters:

  • numbers (required) — array — List of numbers to compute descriptive statistics on. Example: [1.0, 2.5, 3.0, 4.5, 5.0]
  • operation (required) — string — Statistical operation to perform. Allowed values: mean, median, mode, std_dev, variance

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• calc_interest read-only

  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:

  • principal (required) — number — Initial investment amount in dollars (must be > 0), e.g. 1000.0
  • rate (required) — number — Annual interest rate as decimal 0.0-1.0 (e.g. 0.05 = 5%). If entering a percentage, divide by 100 first.
  • time (required) — number — Investment time in years (must be > 0), e.g. 10.0
  • compounds_per_year — integer — Compounding frequency per year (must be > 0): 12=monthly, 365=daily

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• calc_units read-only

  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:

  • value (required) — number — Numeric value to convert, e.g., 100.0
  • from_unit (required) — 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 (required) — 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 (required) — string — Unit category: length, weight, or temperature

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• matrix_multiply read-only

  Multiply two matrices (A × B).

  Parameters:

  • matrix_a (required) — array — 2D list of numbers representing the first matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]
  • matrix_b (required) — array — 2D list of numbers representing the second matrix. Each inner list is a row. Example: [[5, 6], [7, 8]]

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• matrix_transpose read-only

  Transpose a matrix (swap rows and columns).

  Parameters:

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

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• matrix_determinant read-only

  Calculate the determinant of a square matrix.

  Parameters:

  • matrix (required) — array — 2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• matrix_inverse read-only

  Calculate the inverse of a square matrix.

  Parameters:

  • matrix (required) — array — 2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• matrix_eigenvalues read-only

  Calculate the eigenvalues of a square matrix.

  Parameters:

  • matrix (required) — array — 2D list of numbers representing a square matrix. Each inner list is a row. Example: [[4, 2], [1, 3]]

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• workspace_save

  Save calculation to persistent workspace (survives restarts).

  Parameters:

  • name (required) — string — Variable name for the saved calculation. Used to retrieve it later. Example: 'circle_area'
  • expression (required) — string — The mathematical expression that was evaluated. Example: 'pi * r**2'
  • result (required) — number — Numeric result of evaluating the expression, e.g., 78.54

  Hints: read-only no · destructive not declared · idempotent no · open-world not declared

• workspace_load read-only

  Load previously saved calculation result from workspace.

  Parameters:

  • name (required) — string — Name of the variable to load from workspace, e.g., 'circle_area'

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• plot_function read-only

  Generate mathematical function plots (requires matplotlib).

  Parameters:

  • expression (required) — string — Mathematical expression to plot, e.g., "x**2" or "sin(x)". Must be <= MAX_EXPRESSION_LENGTH characters. Example: "x**2"
  • x_range (required) — array — X-axis range as (min, max), e.g., (-5.0, 5.0)
  • num_points — integer — Number of sample points to plot along x_range, e.g., 100

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• plot_histogram read-only

  Create statistical histograms (requires matplotlib).

  Parameters:

  • data (required) — array — List of numeric values to bin, e.g., [1.0, 2.0, 2.5, 3.0]
  • bins — integer — Number of histogram bins, e.g., 20
  • title — string — Chart title string, e.g., 'Data Distribution'

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• plot_line_chart read-only

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

  Parameters:

  • x_data (required) — array — X-axis data points, e.g., [1, 2, 3, 4]
  • y_data (required) — array — Y-axis data points, e.g., [1, 4, 9, 16]
  • color — Line color (name or hex code, e.g., 'blue', '#2E86AB')
  • title — string — Chart title string, e.g., 'Squares'
  • x_label — string — X-axis label, e.g., 'Time'
  • y_label — string — Y-axis label, e.g., 'Distance'
  • show_grid — boolean — Whether to display grid lines

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• plot_scatter read-only

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

  Parameters:

  • x_data (required) — array — X-axis data points, e.g., [1, 2, 3, 4]
  • y_data (required) — array — Y-axis data points, e.g., [1, 4, 9, 16]
  • color — Point color (name or hex code, e.g., 'blue', '#2E86AB')
  • title — string — Chart title string, e.g., 'Correlation Study'
  • x_label — string — X-axis label, e.g., 'Variable X'
  • y_label — string — Y-axis label, e.g., 'Variable Y'
  • point_size — integer — Scatter point size in points^2, e.g., 50

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• plot_box_plot read-only

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

  Parameters:

  • data_groups (required) — array — List of data groups to compare, e.g., [[1, 2, 3], [4, 5, 6]]
  • color — Box color (name or hex code, e.g., 'blue', '#2E86AB')
  • title — string — Chart title string, e.g., 'Distribution Comparison'
  • y_label — string — Y-axis label, e.g., 'Values'
  • group_labels — Labels for each group, e.g., ['Group A', 'Group B']

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

• plot_financial_line read-only

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

  Parameters:

  • days — integer — Number of days to generate, e.g., 30
  • color — Line color (name or hex code, e.g., 'blue', '#2E86AB')
  • trend — string — Market trend direction
  • start_price — number — Starting price value, e.g., 100.0

  Hints: read-only yes · destructive not declared · idempotent yes · open-world not declared

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