About clouatre-labs/math-mcp-learning-server
clouatre-labs/math-mcp-learning-server is an MCP server published by clouatre-labs in the Developer Tools category: educational MCP server with math operations, matrix algebra, data visualization, and persistent workspace.
The repository has 5 stars and 4 forks, with the last commit 5 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/clouatre-labs/math-mcp-learning-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (4)
**Math**`calc_expression`
Parameters not published.
**Matrix**`matrix_multiply`
Parameters not published.
**Visualization**`plot_function`
Parameters not published.
**Workspace**`workspace_save`
Parameters not published.
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Security checks
Static checks derived from the repository just now. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- ✓Tests presentA test suite exists in the repository.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
math-mcp-learning-server
Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK.
Available on the MCP Registry (io.github.clouatre-labs/math-mcp-learning-server) and PyPI.
Demo
See CONTRIBUTING.md for instructions to record your own demo.
Quick Start
Cloud (No Installation)
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"
}
}
}
Local Installation
{
"mcpServers": {
"math": {
"command": "uvx",
"args": ["math-mcp-learning-server[scientific,plotting]"]
}
}
}
For other installation options (basic, scientific-only, plotting-only), see CONTRIBUTING.md.
Tools
| Category | Tool | Description |
|---|---|---|
| Workspace | workspace_save |
Save calculations to persistent storage |
workspace_load |
Retrieve previously saved calculations | |
| Math | calc_expression |
Safely evaluate mathematical expressions |
calc_statistics |
Statistical analysis (mean, median, mode, std_dev, variance) | |
calc_interest |
Calculate compound interest for investments | |
calc_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 |
plot_histogram |
Create statistical histograms | |
plot_line_chart |
Create line charts | |
plot_scatter |
Create scatter plots | |
plot_box_plot |
Create box plots | |
plot_financial_line |
Create financial line charts |
Resources
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://catalog/tools- Tool catalog with metadata and usage examplesmath://variables- Active variables in the current workspacemath://test- Server health check
Prompts
math_tutor- Structured tutoring prompts (configurable difficulty)formula_explainer- Formula explanation with step-by-step breakdowns
See Usage Examples for detailed examples.
Development
See CONTRIBUTING.md for development setup, testing, and contribution guidelines.
Security
- OpenSSF Best Practices Silver - Fewer than 1% of open source projects reach this level
- REUSE/SPDX - License compliance for all files
- Signed Commits - GPG-signed commits required
- Dependency Scanning - Automated updates via Renovate
- pip-audit CVE Scanning - Automated dependency vulnerability checks
- gitleaks Secret Scanning - Detects secrets in code and history
- zizmor GitHub Actions Security - Workflow security scanning
- commitlint Enforcement - Conventional commit validation in CI
- OpenSSF Scorecard - Continuous open source security assessment
The calc_expression 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.
Documentation
README fetched from the repository just now. The original is authoritative.