Math MCP Learning

Name: Math MCP Learning
Author: clouatre-labs

MCP serverMCP

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

by clouatre-labsrepository ↗homepage ↗v0.12.5

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30 days agotoday

Tools observed via MCP handshake

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 Note: Use this tool to compute descript
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). Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_multiply([[1, 2], [3, 4]], [[5, 6], [
matrix_transpose — Transpose a matrix (swap rows and columns). Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_transpose([[1, 2, 3], [4
matrix_determinant — Calculate the determinant of a square matrix. Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_determinant([[1, 2], [
matrix_inverse — Calculate the inverse of a square matrix. Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_inverse([[1, 2], [3, 4]])
matrix_eigenvalues — Calculate the eigenvalues of a square matrix. Note: Requires NumPy. Raises ValueError if NumPy is unavailable. Examples: matrix_eigenvalues([[4, 2], [
workspace_save — Save calculation to persistent workspace (survives restarts). Examples: save_calculation("portfolio_return", "10000 * 1.07^5", 14025.52) save_calculati
workspace_load — Load previously saved calculation result from workspace. Examples: load_variable("portfolio_return") # Returns saved calculation load_variable("circle
plot_function — Generate mathematical function plots (requires matplotlib). Examples: plot_function("x**2", (-5, 5)) plot_function("sin(x)", (-3.14, 3.14))
plot_histogram — Create statistical histograms (requires matplotlib). Examples: plot_histogram([1.0, 2.0, 2.5, 3.0, 3.5, 4.0, 5.0]) plot_histogram([10, 20, 30, 40, 50],
plot_line_chart — Create a line chart from data points (requires matplotlib). Note: Use for general XY data. For time-series price data with optional moving average, use plo
plot_scatter — Create a scatter plot from data points (requires matplotlib). Examples: plot_scatter([1, 2, 3, 4], [1, 4, 9, 16], title="Correlation Study") plot_scatt
plot_box_plot — Create a box plot for comparing distributions (requires matplotlib). Examples: plot_box_plot([[1, 2, 3, 4, 5], [2, 4, 6, 8, 10]], group_labels=["A", "B"])
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

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mcpmathcalculatorlearningfastmcptutorialeducationclouddeploymentworkspacepersistence

kind ← Official MCP Registry

name ← Official MCP Registry

repoUrl ← Official MCP Registry

summary ← Official MCP Registry

version ← Official MCP Registry

description ← Official MCP Registry

homepageUrl ← PyPI

publisherName ← Official MCP Registry

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Official MCP Registryio.github.clouatre-labs/math-mcp-learning-server

first seen 24 h ago · fetched 24 h agoopen ↗

PyPImath-mcp-learning-server

first seen 24 h ago · fetched 24 h agoopen ↗

Field history (8 recent events)

24 h ago · declared · homepageUrl → "https://github.com/clouatre-labs/math-mcp-learning-server#readme"
24 h ago · observed · packageFacts → {"name":"math-mcp-learning-server","registry":"pypi","publishedAt":"2026-09-01T01:23:16.725432Z","latestVersion":"0.12.5
24 h ago · declared · publisherName → "clouatre-labs"
24 h ago · declared · repoUrl → "https://github.com/clouatre-labs/math-mcp-learning-server"
24 h ago · declared · summary → "Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace"
24 h ago · declared · protocols → ["mcp"]
24 h ago · declared · version → "0.12.5"
24 h ago · declared · description → "Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace"

when	check	result	http	latency	detail
2 h ago	mcp initialize	ok	200	525 ms	server Math Learning Server 4.0.3 · protocol 2025-06-18 · 17 tools
9 h ago	mcp initialize	ok	200	347 ms	server Math Learning Server 4.0.3 · protocol 2025-06-18 · 17 tools
16 h ago	mcp initialize	ok	200	510 ms	server Math Learning Server 4.0.3 · protocol 2025-06-18 · 17 tools
23 h ago	mcp initialize	ok	200	341 ms	server Math Learning Server 4.0.3 · protocol 2025-06-18 · 17 tools

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