Listed from the MCP registry; nobody on Odel publishes it.

MCP server: One MCP server.

Discrete Structures

@zohaibcodezRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Comprehensive tools for discrete mathematics: logic, algorithms, number theory, cryptography

Scientific computingv0.1.4TypeScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPIdiscrete-structures-mcpv0.1.4

Run

uvx discrete-structures-mcp

MCP client config

{
  "mcpServers": {
    "discrete-structures": {
      "command": "uvx",
      "args": [
        "discrete-structures-mcp"
      ]
    }
  }
}
README2 min read

Discrete Structures AI Learning Platform

An interactive web-based educational platform for learning discrete structures through visualizations, AI-powered assistance, and hands-on tools.

Features

  • Algorithm Visualizer: Step-by-step animations of sorting and searching algorithms
  • Cryptography Playground: Explore classical and modern encryption techniques
  • Logic Calculator: Boolean algebra, truth tables, and expression simplification
  • Number Theory Explorer: Prime numbers, GCD/LCM, modular arithmetic tools
  • AI Chatbot Assistant: Get help with discrete structures concepts via AI

Tech Stack

  • Backend: Python 3.11+, FastAPI, OpenAI Agents SDK, MCP Protocol
  • Frontend: React 18, TypeScript, Vite, TailwindCSS, Framer Motion
  • Package Management: uv (Python), npm (JavaScript)

Quick Start

Prerequisites

  • Python 3.11 or higher
  • Node.js 18 or higher
  • uv package manager (pip install uv)
  • OpenAI API key

Backend Setup

bash
cd backend
uv sync
copy .env.example .env
# Edit .env and add your OPENAI_API_KEY
uv run uvicorn src.main:app --reload

Backend runs on http://localhost:8000

Frontend Setup

bash
cd frontend
npm install
copy .env.example .env
npm run dev

Frontend runs on http://localhost:5173

Project Structure

discrete-structures-ai-platform/
├── backend/          # FastAPI backend + MCP server
│   ├── src/
│   │   ├── api/      # API endpoints
│   │   ├── agents/   # OpenAI agents
│   │   ├── mcp/      # MCP tools
│   │   ├── models/   # Pydantic models
│   │   └── services/ # Business logic
│   └── tests/        # Backend tests
├── frontend/         # React frontend
│   ├── src/
│   │   ├── components/  # React components
│   │   ├── pages/       # Page components
│   │   ├── services/    # API clients
│   │   ├── hooks/       # Custom hooks
│   │   └── types/       # TypeScript types
│   └── public/       # Static assets
└── specs/            # Project specifications

Development

This project follows a phased implementation approach:

  • Phase 1: Project Setup ✅
  • Phase 2: Foundational Infrastructure ✅
  • Phase 3: Landing Page ✅
  • Phase 4+: Feature implementation (in progress)

See specs/001-ds-ai-platform/tasks.md for detailed task breakdown.

License

Educational use only.

Similar modules

Browse Scientific computing