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Math MCP Learning

Registre officiel Productivité

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

Code source Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http math-mcp-learning 'https://math-mcp.fastmcp.app/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "math-mcp-learning": {
            "type": "http",
            "url": "https://math-mcp.fastmcp.app/mcp"
        }
    }
}
PYPI package math-mcp-learning-server
Claude Code 
claude mcp add math-mcp-learning -- uvx math-mcp-learning-server==0.12.5
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "math-mcp-learning": {
            "command": "uvx",
            "args": [
                "math-mcp-learning-server==0.12.5"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. math-mcp-learning-server
  2. Demo
  3. Quick Start
  4. Tools
  5. Resources
  6. Prompts
  7. Development
  8. Security
  9. Documentation

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

CategoryToolDescription
Workspaceworkspace_saveSave calculations to persistent storage
workspace_loadRetrieve previously saved calculations
Mathcalc_expressionSafely evaluate mathematical expressions
calc_statisticsStatistical analysis (mean, median, mode, std_dev, variance)
calc_interestCalculate compound interest for investments
calc_unitsConvert between units (length, weight, temperature)
Matrixmatrix_multiplyMultiply two matrices
matrix_transposeTranspose a matrix
matrix_determinantCalculate matrix determinant
matrix_inverseCalculate matrix inverse
matrix_eigenvaluesCalculate eigenvalues
Visualizationplot_functionPlot mathematical functions
plot_histogramCreate statistical histograms
plot_line_chartCreate line charts
plot_scatterCreate scatter plots
plot_box_plotCreate box plots
plot_financial_lineCreate financial line charts

Resources

  • math://workspace - Persistent calculation workspace summary
  • math://history - Chronological calculation history
  • math://functions - Available mathematical functions reference
  • math://constants/{constant} - Mathematical constants (pi, e, golden_ratio, etc.)
  • math://catalog/tools - Tool catalog with metadata and usage examples
  • math://variables - Active variables in the current workspace
  • math://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

calc_expression safety

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

Questions fréquentes

Qu'est-ce que Math MCP Learning ?

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

Comment installer Math MCP Learning ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http math-mcp-learning 'https://math-mcp.fastmcp.app/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Math MCP Learning ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

Math MCP Learning est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient Math MCP Learning ?

Il est publié par clouatre-labs. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.