TutorX-MCP Server

A Model Context Protocol (MCP) server for educational AI tutoring as specified in the PRD.

Overview

TutorX-MCP is an adaptive, multi-modal, and collaborative AI tutoring platform that leverages the Model Context Protocol (MCP) for tool integration and provides APIs for educational features.

Features

Adaptive Learning Engine: Concept graph, skill assessment, and personalized learning paths
Assessment Suite: Quiz generation, solution analysis
Feedback System: Error pattern analysis and contextual suggestions
Multi-Modal Interaction: Text-based Q&A (with planned voice and handwriting recognition)

Getting Started

Prerequisites

Python 3.12 or higher
Dependencies as listed in pyproject.toml

Installation

# Clone the repository
git clone https://github.com/yourusername/tutorx-mcp.git
cd tutorx-mcp

# Install dependencies
uv install

Running the Server

python main.py

By default, the server will run in development mode and you can access it at http://localhost:8000.

MCP Tool Integration

The server exposes MCP tools for:

Skill assessment
Quiz generation
Error pattern analysis

And MCP resources for:

Concept graph
Learning paths

License

This project is licensed under the MIT License - see the LICENSE file for details.