Module 12 – Combining All MCP Tools Into A Complete University Attendance Automation System

In this final module, we will bring together all the components created in earlier modules—department setup, course management, semester generation, subject allocation, staff management, timetable creation, attendance API, logs, dashboards, and analytics—into a unified Attendance Automation Platform powered by the Model Context Protocol.

✔ Step 1 – Create the MCP Master Server

This server loads every tool module and exposes them under a unified namespace.

from mcp import MCPServer

# Import All Tool Modules
import department
import courses
import semesters
import subjects
import staff
import timetable
import attendance
import analytics

server = MCPServer(title="University Attendance Automation")

# Register Tools From All Modules
server.load_tools_from(department)
server.load_tools_from(courses)
server.load_tools_from(semesters)
server.load_tools_from(subjects)
server.load_tools_from(staff)
server.load_tools_from(timetable)
server.load_tools_from(attendance)
server.load_tools_from(analytics)

if __name__ == "__main__":
    server.start()

✔ Step 2 – Build Unified Frontend UI

Below is the main dashboard HTML that links all 12 modules.

  
University Attendance Portal

  
  
  
  
  
  
  
  

✔ Step 3 – Connecting MCP Server to Client UI

The following JavaScript connects all UI buttons to respective MCP tools.

async function callTool(name, params = {}) {
  return await mcp.call(name, params);
}

async function loadDept() {
  const data = await callTool("list_departments");
  console.log(data);
}
async function loadCourse() {
  const data = await callTool("list_courses");
  console.log(data);
}
async function loadSemester() {
  const data = await callTool("generate_semesters", { course_id: 1 });
  console.log(data);
}

✔ Step 4 – Real-Life Example (Fully Integrated)

Using MCP automation:

• 2 Courses: B.Tech (8 sem), M.Sc (4 sem)
• 14 Staff members auto assigned to subjects
• 6 subjects per semester × 12 semesters = 72 subjects
• 60 students/semester × 12 = 720 students
• Each semester auto-creates timetable for 40 hours/week
• Attendance logged per hour → converted to daily, weekly, monthly reports
• Analytics module generates staff load, shortage list, student trends

✔ Step 5 – Add Deployment Script

Deploy the complete MCP system using the script below.

#!/bin/bash

echo "Starting MCP University Attendance Server"
python3 mcp_master_server.py