Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc
Add this skill
npx mdskills install clouatre-labs/math-mcp-learning-serverComprehensive educational math server with 17 tools, clear setup, and strong security practices
Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK.
Available on:
io.github.clouatre-labs/math-mcp-learning-servermath-mcp-learning-serverRequires an MCP client:
Connect your MCP client to the hosted server:
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"math-cloud": {
"transport": "http",
"url": "https://math-mcp.fastmcp.app/mcp"
}
}
}
Automatic with uvx (recommended):
{
"mcpServers": {
"math": {
"command": "uvx",
"args": ["math-mcp-learning-server"]
}
}
}
Manual installation:
# Basic installation
uvx math-mcp-learning-server
# With matrix operations support
uvx --from 'math-mcp-learning-server[scientific]' math-mcp-learning-server
# With visualization support
uvx --from 'math-mcp-learning-server[plotting]' math-mcp-learning-server
# All features
uvx --from 'math-mcp-learning-server[scientific,plotting]' math-mcp-learning-server
| Category | Tool | Description |
|---|---|---|
| Workspace | save_calculation | Save calculations to persistent storage |
load_variable | Retrieve previously saved calculations | |
| Math | calculate | Safely evaluate mathematical expressions |
statistics | Statistical analysis (mean, median, mode, std_dev, variance) | |
compound_interest | Calculate compound interest for investments | |
convert_units | Convert between units (length, weight, temperature) | |
| Matrix | matrix_multiply | Multiply two matrices |
matrix_transpose | Transpose a matrix | |
matrix_determinant | Calculate matrix determinant | |
matrix_inverse | Calculate matrix inverse | |
matrix_eigenvalues | Calculate eigenvalues | |
| Visualization | plot_function | Plot mathematical functions |
create_histogram | Create statistical histograms | |
plot_line_chart | Create line charts | |
plot_scatter_chart | Create scatter plots | |
plot_box_plot | Create box plots | |
plot_financial_line | Create financial line charts |
math://workspace - Persistent calculation workspace summarymath://history - Chronological calculation historymath://functions - Available mathematical functions referencemath://constants/{constant} - Mathematical constants (pi, e, golden_ratio, etc.)math://test - Server health checkmath_tutor - Structured tutoring prompts (configurable difficulty)formula_explainer - Formula explanation with step-by-step breakdownsSee Usage Examples for detailed examples.
See CONTRIBUTING.md for development setup, testing, and contribution guidelines.
The calculate tool uses restricted eval() with a whitelist of allowed characters and functions, restricted global scope (only math module and abs), and no access to dangerous built-ins or imports. All tool inputs are validated with Pydantic models. File operations are restricted to the designated workspace directory. Complete type hints and validation are enforced for all operations.
Install via CLI
npx mdskills install clouatre-labs/math-mcp-learning-serverMath MCP Learning Server is a free, open-source AI agent skill. Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc
Install Math MCP Learning Server with a single command:
npx mdskills install clouatre-labs/math-mcp-learning-serverThis downloads the skill files into your project and your AI agent picks them up automatically.
Math MCP Learning Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Codex, Gemini Cli, Amp, Roo Code, Goose, Opencode, Trae, Qodo, Command Code. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.