Math MCP Learning
io.github.clouatre-labs/math-mcp-learning-server · v0.12.5
Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace
MCPremotelocal · pypino credentials
Reported outcomes
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 17 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 17 tools · 16 read, 1 write
Test call plot_financial_line: worked (946 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://math-mcp.fastmcp.app/mcpPackage
registry: pypi
identifier: math-mcp-learning-server
version: 0.12.5
transport: stdioTools
17 tools listed at last check
calc_expressionSafely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: sin, cos, tan, log, sqrt, abs, powcalc_statisticsPerform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variancecalc_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 yearscalc_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)matrix_multiplyMultiply two matrices (A × B).matrix_transposeTranspose a matrix (swap rows and columns).matrix_determinantCalculate the determinant of a square matrix.matrix_inverseCalculate the inverse of a square matrix.matrix_eigenvaluesCalculate the eigenvalues of a square matrix.workspace_saveSave calculation to persistent workspace (survives restarts).workspace_loadLoad previously saved calculation result from workspace.plot_functionGenerate mathematical function plots (requires matplotlib).plot_histogramCreate statistical histograms (requires matplotlib).plot_line_chartCreate a line chart from data points (requires matplotlib).plot_scatterCreate a scatter plot from data points (requires matplotlib).plot_box_plotCreate a box plot for comparing distributions (requires matplotlib).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.
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