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# 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() |