Math MCP Learning

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "math-mcp-learning": {
      "type": "http",
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}

17 tools

• calc_expression

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

• calc_statistics

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

• calc_interest

  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

• calc_units

  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)

• matrix_multiply

  Multiply two matrices (A × B).

• matrix_transpose

  Transpose a matrix (swap rows and columns).

• matrix_determinant

  Calculate the determinant of a square matrix.

• matrix_inverse

  Calculate the inverse of a square matrix.

• matrix_eigenvalues

  Calculate the eigenvalues of a square matrix.

• workspace_save

  Save calculation to persistent workspace (survives restarts).

• workspace_load

  Load previously saved calculation result from workspace.

• plot_function

  Generate mathematical function plots (requires matplotlib).

• plot_histogram

  Create statistical histograms (requires matplotlib).

• plot_line_chart

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

• plot_scatter

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

• plot_box_plot

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

• plot_financial_line

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

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