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Math MCP Learning MCP Server

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Math MCP Learning is answering right now. Last checked 11 min ago. 162 installs a week from pypi. It exposes 17 tools. Last commit 2 Nov 2026.

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

Installs per day peak 229 · avg 55 · -53% w/w
a month agotoday
Uptime history 91 days of history
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
17
Tools
read from the server
517 ms
Response time
average over 24h
162
Installs / week
npm and PyPI

What changed 30

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 15 August 2026. No other catalogue keeps this.

2 Nov a tool changed version
30 Oct a tool changed version
22 Oct a tool changed version
19 Oct a tool changed version
12 Oct 17 tool descriptions were rewritten calc_expression, calc_interest, calc_statistics and 14 more
12 Oct a tool changed version
5 Oct a tool changed version
26 Sep a tool changed version
25 Sep a tool changed version
24 Sep a tool changed version
and 4 more, back to 15 August 2026

What the code does

We read the source, 2 d ago · tools taken from the live server · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Executes code built at runtime [пакет] src/math_mcp/eval.py:73, src/math_mcp/eval.py:84
        result = eval(safe_expr, allowed_globals, {})

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add math-mcp-learning-server --transport http https://math-mcp.fastmcp.app/mcp
Settings → Connectors → Add custom connector, then paste this address
https://math-mcp.fastmcp.app/mcp
~/.codex/config.toml
[mcp_servers.math-mcp-learning-server]
url = "https://math-mcp.fastmcp.app/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "math-mcp-learning-server": {
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "math-mcp-learning-server": {
      "type": "http",
      "url": "https://math-mcp.fastmcp.app/mcp"
    }
  }
}

Available tools 17

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

plot
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 market data.
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).
matrix
matrix_determinant
Calculate the determinant of a square matrix.
matrix_eigenvalues
Calculate the eigenvalues of a square matrix.
matrix_inverse
Calculate the inverse of a square matrix.
matrix_multiply
Multiply two matrices (A × B).
matrix_transpose
Transpose a matrix (swap rows and columns).
calc
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
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
calc_statistics
Perform statistical calculations on a list of numbers. Available operations: mean, median, mode, std_dev, variance
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)
workspace
workspace_load
Load previously saved calculation result from workspace.
workspace_save
Save calculation to persistent workspace (survives restarts).

Endpoints

URLTransportStateLatencyChecked
https://math-mcp.fastmcp.app/mcp streamable-http answering 579 ms 11 min ago

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Math MCP Learning — questions

Answers built from our own checks of this server.

What can Math MCP Learning do?
It exposes 17 tools, read directly from the server on our last check. Among them: calc_expression, calc_interest, calc_statistics, calc_units, matrix_determinant, matrix_eigenvalues and 11 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Math MCP Learning mostly used for?
Its tools cluster around plot, matrix and calc. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Math MCP Learning working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 517 ms. The bar chart above shows every period we have measured.
How do I connect Math MCP Learning?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Math MCP Learning need an API key?
No. Math MCP Learning completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 17 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Math MCP Learning?
It answers our handshake in 517 ms on average, which is faster than 23% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Math MCP Learning?
The pypi package math-mcp-learning-server was installed 162 times in the last week. Week over week that is -53%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Math MCP Learning open source?
We cannot say either way: written in Python and 5 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.