Tuesday, 25 November 2025

#Module 4 – MCP Data Modeling Structure

Module 4 – MCP Data Modeling Structure

Module 4 – MCP Data Modeling Structure

In this module, we design a complete data model for the Attendance Tracking System. This data model will be carried across all further MCP commands and backend logic.

📌 Real-World Scenario

  • 2 Courses: 8-semester degree, 4-semester diploma
  • 14 Staff members
  • 6 Subjects per semester
  • 60 Students per semester
  • Odd Semesters → 1,3,5,7
  • Even Semesters → 2,4,6,8
  • Each semester has a 40-hour weekly timetable

🎯 Goal of This Module

Define a clean MCP-ready data model with all entities, relationships, and JSON structures.

📘 Entities We Will Model

  • Course
  • Semester
  • Subject
  • Staff
  • Student
  • Timetable
  • Attendance Records

🧩 Complete JSON Data Model

{
  "courses": [
    {
      "id": "C1",
      "name": "B.E – Computer Science",
      "semesters": 8
    },
    {
      "id": "C2",
      "name": "Diploma – Computer Engineering",
      "semesters": 4
    }
  ],

  "semesters": [
    { "id": "S1", "courseId": "C1", "number": 1, "type": "odd" },
    { "id": "S2", "courseId": "C1", "number": 2, "type": "even" },
    { "id": "S3", "courseId": "C1", "number": 3, "type": "odd" },
    { "id": "S4", "courseId": "C1", "number": 4, "type": "even" },
    { "id": "S5", "courseId": "C1", "number": 5, "type": "odd" },
    { "id": "S6", "courseId": "C1", "number": 6, "type": "even" },
    { "id": "S7", "courseId": "C1", "number": 7, "type": "odd" },
    { "id": "S8", "courseId": "C1", "number": 8, "type": "even" },

    { "id": "S9",  "courseId": "C2", "number": 1, "type": "odd" },
    { "id": "S10", "courseId": "C2", "number": 2, "type": "even" },
    { "id": "S11", "courseId": "C2", "number": 3, "type": "odd" },
    { "id": "S12", "courseId": "C2", "number": 4, "type": "even" }
  ],

  "subjects": [
    {
      "id": "SUB101",
      "name": "Mathematics – I",
      "semesterId": "S1",
      "staffId": "T1",
      "weeklyHours": 4
    }
  ],

  "staff": [
    { "id": "T1", "name": "Dr. Devi", "department": "CSE" },
    { "id": "T2", "name": "Mr. Arun", "department": "CSE" }
  ],

  "students": [
    {
      "id": "STU001",
      "name": "Anitha",
      "courseId": "C1",
      "semesterId": "S1"
    }
  ],

  "timetable": [
    {
      "id": "TT1",
      "semesterId": "S1",
      "weekHours": 40,
      "slots": [
        { "hour": 1, "day": "Monday", "subjectId": "SUB101" },
        { "hour": 2, "day": "Monday", "subjectId": "SUB102" }
      ]
    }
  ],

  "attendance": [
    {
      "id": "A1",
      "studentId": "STU001",
      "subjectId": "SUB101",
      "date": "2025-08-05",
      "status": "present"
    }
  ]
}

🛠️ CLI Commands for MCP Integration

# Register data model inside MCP configuration
mcp set model attendance_model.json --namespace academic_tracker

# Push initial dataset
tool push academic_tracker attendance_model.json

🎉 Module 4 Complete!

You now have a fully structured MCP-compliant data model for the entire University Attendance System.

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