main.py

# TutorX MCP Server
from mcp.server.fastmcp import FastMCP
import json
from typing import List, Dict, Any, Optional
from datetime import datetime

# Create the TutorX MCP server
mcp = FastMCP("TutorX")

# ------------------ Core Features ------------------

# Adaptive Learning Engine
@mcp.tool()
def assess_skill(student_id: str, concept_id: str) -> Dict[str, Any]:
    """
    Assess student's skill level on a specific concept
    
    Args:
        student_id: The unique identifier for the student
        concept_id: The concept to assess
        
    Returns:
        Dictionary containing skill level and recommendations
    """
    # Simulated skill assessment
    return {
        "student_id": student_id,
        "concept_id": concept_id,
        "skill_level": 0.75,
        "confidence": 0.85,
        "recommendations": [
            "Practice more complex problems",
            "Review related concept: algebra_linear_equations"
        ],
        "timestamp": datetime.now().isoformat()
    }

@mcp.resource("concept-graph://")
def get_concept_graph() -> Dict[str, Any]:
    """Get the full knowledge concept graph"""
    return {
        "nodes": [
            {"id": "math_algebra_basics", "name": "Algebra Basics", "difficulty": 1},
            {"id": "math_algebra_linear_equations", "name": "Linear Equations", "difficulty": 2},
            {"id": "math_algebra_quadratic_equations", "name": "Quadratic Equations", "difficulty": 3},
        ],
        "edges": [
            {"from": "math_algebra_basics", "to": "math_algebra_linear_equations", "weight": 1.0},
            {"from": "math_algebra_linear_equations", "to": "math_algebra_quadratic_equations", "weight": 0.8},
        ]
    }

@mcp.resource("learning-path://{student_id}")
def get_learning_path(student_id: str) -> Dict[str, Any]:
    """Get personalized learning path for a student"""
    return {
        "student_id": student_id,
        "current_concepts": ["math_algebra_linear_equations"],
        "recommended_next": ["math_algebra_quadratic_equations"],
        "mastered": ["math_algebra_basics"],
        "estimated_completion_time": "2 weeks"
    }

# Assessment Suite
@mcp.tool()
def generate_quiz(concept_ids: List[str], difficulty: int = 2) -> Dict[str, Any]:
    """
    Generate a quiz based on specified concepts and difficulty
    
    Args:
        concept_ids: List of concept IDs to include in the quiz
        difficulty: Difficulty level from 1-5
        
    Returns:
        Quiz object with questions and answers
    """
    return {
        "quiz_id": "q12345",
        "concept_ids": concept_ids,
        "difficulty": difficulty,
        "questions": [
            {
                "id": "q1",
                "text": "Solve for x: 2x + 3 = 7",
                "type": "algebraic_equation",
                "answer": "x = 2",
                "solution_steps": [
                    "2x + 3 = 7",
                    "2x = 7 - 3",
                    "2x = 4",
                    "x = 4/2 = 2"
                ]
            }
        ]
    }

# Feedback System
@mcp.tool()
def analyze_error_patterns(student_id: str, concept_id: str) -> Dict[str, Any]:
    """
    Analyze common error patterns for a student on a specific concept
    
    Args:
        student_id: The student's unique identifier
        concept_id: The concept to analyze
        
    Returns:
        Error pattern analysis
    """
    return {
        "student_id": student_id,
        "concept_id": concept_id,
        "common_errors": [
            {
                "type": "sign_error",
                "frequency": 0.65,
                "example": "2x - 3 = 5 → 2x = 5 - 3 → 2x = 2 → x = 1 (should be x = 4)"
            },
            {
                "type": "arithmetic_error",
                "frequency": 0.35,
                "example": "2x = 8 → x = 8/2 = 3 (should be x = 4)"
            }
        ],
        "recommendations": [
            "Practice more sign manipulation problems",
            "Review basic arithmetic operations"
        ]
    }

if __name__ == "__main__":
    mcp.run()