io.github.clouatre-labs/math-mcp-learning-server

up checked 2026-11-11T00:38:19.247Z

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Publisher-provided title

Math MCP Learning

Publisher-provided description

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

Summary by lookupd

Evaluate math expressions, statistics, matrices, unit conversions, interest, and plots; save and reload calculations in a workspace.

Install

Claude Code, remote (streamable-http)

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

Claude Code, pypi package (stdio)

claude mcp add math-mcp-learning-server -- uvx math-mcp-learning-server

Codex, remote (streamable-http)

codex mcp add math-mcp-learning-server --url https://math-mcp.fastmcp.app/mcp

Codex, pypi package (stdio)

codex mcp add math-mcp-learning-server -- uvx math-mcp-learning-server

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "math-mcp-learning-server": {
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "math-mcp-learning-server": {
      "command": "uvx",
      "args": [
        "math-mcp-learning-server"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (17 tools)

Publisher-provided text

• calc_expression Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: si
• 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
• 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 (C
• 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 m

Details

• Version: 0.12.5
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 640 ms
• First indexed: 2026-11-01T09:24:47.083Z
• Last seen in registry: 2026-11-01T09:24:47.358Z
• Repository: https://github.com/clouatre-labs/math-mcp-learning-server

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