MCP server

Math MCP Learning

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

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

17

Token cost

About 3,260 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.math-mcp-learning-server]
url = "https://math-mcp.fastmcp.app/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"math-mcp-learning-server","server_url":"https://math-mcp.fastmcp.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"math-mcp-learning-server","server_url":"https://math-mcp.fastmcp.app/mcp"}

Tools

• calc_expression ~158 tokens
  Safely evaluate mathematical expressions with support for basic operations and math functions. Supported operations: +, -, *, /, **, () Supported functions: sin, cos, tan, log, sqrt, abs, pow
• calc_interest ~272 tokens
  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_statistics ~183 tokens
  Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance
• calc_units ~290 tokens
  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_determinant ~115 tokens
  Calculate the determinant of a square matrix.
• matrix_eigenvalues ~115 tokens
  Calculate the eigenvalues of a square matrix.
• matrix_inverse ~113 tokens
  Calculate the inverse of a square matrix.
• matrix_multiply ~176 tokens
  Multiply two matrices (A × B).
• matrix_transpose ~114 tokens
  Transpose a matrix (swap rows and columns).
• plot_box_plot ~276 tokens
  Create a box plot for comparing distributions (requires matplotlib).
• plot_financial_line ~228 tokens
  Generate and plot synthetic financial price data (requires matplotlib). Creates realistic price movement patterns for educational purposes. Does not use real market data.
• plot_function ~205 tokens
  Generate mathematical function plots (requires matplotlib).
• plot_histogram ~159 tokens
  Create statistical histograms (requires matplotlib).
• plot_line_chart ~295 tokens
  Create a line chart from data points (requires matplotlib).
• plot_scatter ~303 tokens
  Create a scatter plot from data points (requires matplotlib).
• workspace_load ~86 tokens
  Load previously saved calculation result from workspace.
• workspace_save ~172 tokens
  Save calculation to persistent workspace (survives restarts).

Browse

• GitHub tools
• GitHub and code hosting
• Stocks and markets

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