MCP/
├── server.py          # MCP server — registers all tools
├── client.py          # CLI client — keyword routing + Groq fallback
├── attendance.py      # Attendance lookup (pandas + CSV)
├── marks.py           # Average marks calculator (pandas + CSV)
├── notes.py           # Keyword search across PDF notes
├── pdf_reader.py      # PDF text extraction (pypdf)
├── calculator.py      # Simple eval-based calculator
├── rules.py           # Reads college rules from a text file
├── requirements.txt   # Python dependencies
├── .env               # Environment variables (GROQ_API_KEY)
└── data/
    ├── attendance.csv  # Student attendance records
    ├── marks.csv       # Student marks (5 subjects)
    ├── notes.pdf       # Course notes (PDF)
    ├── notes.txt       # Course notes (plain text)
    ├── rules.txt       # College rules
    └── students.csv    # Student roster

git clone <repo-url>
cd MCP

python -m venv venv
# Windows
venv\Scripts\activate
# macOS / Linux
source venv/bin/activate

pip install -r requirements.txt

GROQ_API_KEY=your_groq_api_key_here

python server.py

python client.py

Ask : What is Rahul's attendance?
→ {'Name': 'Rahul', 'Days_Present': 42, 'Total_Days': 50, ...}

Ask : Show me Priya's average marks
→ Average = 82.4

Ask : What are the college rules?
→ (displays all rules from rules.txt)

Ask : Search notes for machine learning
Keyword : machine learning
→ (matching lines from notes.pdf)

Ask : Calculate 25+50*2
→ 125

Ask : What is the capital of France?
→ (answered by Groq Llama 3.3 70B)

Ask : exit
→ (exits the program)