Math MCP Learning

io.github.clouatre-labs/math-mcp-learning-serverVersion 0.12.5

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

Status

Responds449 msNov 14, 2026, 14:47 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:47 UTC
Latency: 449 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: EU hosting detected (detected, not a legal statement)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://math-mcp.fastmcp.app/mcpResponds449 msNov 14, 2026, 14:47 UTC

No sign-in

Claude Code

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

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: math-mcp-learning-server
Remote MCP server URL: https://math-mcp.fastmcp.app/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"math-mcp-learning-server","type":"http","url":"https://math-mcp.fastmcp.app/mcp"}'

Streamable HTTP

pypi: math-mcp-learning-server 0.12.5

Package only

PyPI (uvx)

claude mcp add math-mcp-learning-server -- uvx math-mcp-learning-server==0.12.5

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Tools

17 tools

Tools of Math MCP Learning
	Description		Read-only	Idempotent	Open world
`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	Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, , /, *, () Supported functions: sin, cos, tan, log, sqrt, abs, pow	Not declared	Yes	Yes	Not declared
`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	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	Not declared	Yes	Yes	Not declared
`calc_statistics`Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance	Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance	Not declared	Yes	Yes	Not declared
`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)	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)	Not declared	Yes	Yes	Not declared
`matrix_determinant`Calculate the determinant of a square matrix.	Calculate the determinant of a square matrix.	Not declared	Yes	Yes	Not declared
`matrix_eigenvalues`Calculate the eigenvalues of a square matrix.	Calculate the eigenvalues of a square matrix.	Not declared	Yes	Yes	Not declared
`matrix_inverse`Calculate the inverse of a square matrix.	Calculate the inverse of a square matrix.	Not declared	Yes	Yes	Not declared
`matrix_multiply`Multiply two matrices (A × B).	Multiply two matrices (A × B).	Not declared	Yes	Yes	Not declared
`matrix_transpose`Transpose a matrix (swap rows and columns).	Transpose a matrix (swap rows and columns).	Not declared	Yes	Yes	Not declared
`plot_box_plot`Create a box plot for comparing distributions (requires matplotlib).	Create a box plot for comparing distributions (requires matplotlib).	Not declared	Yes	Yes	Not declared
`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.	Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.	Not declared	Yes	Yes	Not declared
`plot_function`Generate mathematical function plots (requires matplotlib).	Generate mathematical function plots (requires matplotlib).	Not declared	Yes	Yes	Not declared
`plot_histogram`Create statistical histograms (requires matplotlib).	Create statistical histograms (requires matplotlib).	Not declared	Yes	Yes	Not declared
`plot_line_chart`Create a line chart from data points (requires matplotlib).	Create a line chart from data points (requires matplotlib).	Not declared	Yes	Yes	Not declared
`plot_scatter`Create a scatter plot from data points (requires matplotlib).	Create a scatter plot from data points (requires matplotlib).	Not declared	Yes	Yes	Not declared
`workspace_load`Load previously saved calculation result from workspace.	Load previously saved calculation result from workspace.	Not declared	Yes	Yes	Not declared
`workspace_save`Save calculation to persistent workspace (survives restarts).	Save calculation to persistent workspace (survives restarts).	Not declared	No	No	Not declared

Details

Registry status: Active
Published: Sep 1, 2026
Updated: Sep 1, 2026
Website: Not given
Repository: https://github.com/clouatre-labs/math-mcp-learning-server⁠ (opens in a new tab)
Categories (suggested): Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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