Gauntlet Incept MCP

🚀 Gauntlet-Incept Educational Content Generation System

Gauntlet-Incept is a system designed to generate high-quality educational content for K-8 students. Initially, it focuses on creating articles and question banks in specific subject areas.

🚀 Quick Start

This repository contains the code and resources for the Gauntlet-Incept project, aiming to build a system capable of generating high-quality educational content for K-8 students. The initial scope focuses on developing articles and question banks in specific subject areas.

📚 Documentation

• Project Overview - A detailed description of project goals and requirements.
• Implementation Checklist - A comprehensive checklist for project implementation.
• Original Project Brief - A detailed briefing on the original project requirements.
• MCP Server Guide - A guide to configuring the Model Context Protocol server using Claude Desktop.

📦 Project Structure

gauntlet-incept/
├── docs/                  # Documentation folder
├── src/                   # Source code
│   ├── api/               # API routes
│   ├── models/            # Data models
│   ├── services/          # Business logic
│   ├── utils/             # Utility functions
│   ├── data/              # Data files
│   ├── tests/             # Test files
│   ├── index.js           # REST API entry point
│   └── mcp-server.js      # Model Context Protocol server
├── services/              # Microservices
│   ├── qti-service/       # QTI service for content storage
│   └── llm-service/       # LLM service for content generation
├── .env.example           # Example file for environment variables
├── .gitignore             # Git ignore file
├── package.json           # Node.js package file
├── docker-compose.yml     # Docker Compose configuration
├── Dockerfile             # Docker configuration
└── README.md              # This file

📄 API Endpoints

The project implements six core API endpoints:

Question Endpoints

• POST /api/question/tag - Tag a question with a topic, grade, standard, curriculum, and difficulty.
• POST /api/question/grade - Grade a tagged question according to quality criteria.
• POST /api/question/generate - Generate a question based on tags or an example question.

Article Endpoints

• POST /api/article/tag - Tag an article with a topic, grade, standard, and curriculum.
• POST /api/article/grade - Grade a tagged article according to quality criteria.
• POST /api/article/generate - Generate an article based on tags or an example article.

🔧 MCP Server Guide

The MCP server is used for integration with Claude Desktop. The configuration command is as follows:

npm run mcp

📋 Project Checklist

• [x] Initialize the Git repository.
• [x] Create the basic project structure.
• [x] Add a .gitignore file.
• [x] Create the initial commit.
• [x] Set up project documentation.
• [x] Create an implementation checklist.
• [x] Set up API routes and service structures.
• [x] Implement placeholder functions for core services.
• [x] Set up Docker containerization.
• [x] Implement the MCP server for Claude Desktop integration.
• [x] Configure the connection to the RDS PostgreSQL database.
• [ ] Implement actual functions for LLM integration.
• [ ] Add tests.
• [ ] Review and finalize.

📄 License

MIT

📞 Contact

[Your contact information]