VIT Student MCP Server

A powerful local Model Context Protocol (MCP) server designed for VIT students. It seamlessly scrapes your VTOP profile using a headless Playwright browser and exposes all your academic data (Marks, Attendance, Exams, Assignments, Timetable) to Claude Desktop as an AI assistant tool.

Key Features:

• Auto-Captcha Solving: Uses a lightweight Neural Network (ddddocr) to automatically solve VTOP captchas.
• Full Automation: Injects JS exactly like the official Android App to safely extract data from VTOP.
• SQLite Caching: Saves everything locally so the MCP server responds instantly to Claude without needing to hit VTOP repeatedly.
• Claude Integration: Ask Claude questions like "What's my schedule tomorrow?", "Did I pass Cloud Computing?", or "Am I debarred in any subject?"

🛠️ Installation & Setup

1. Prerequisites

You need Python 3.9+ and pip installed on your machine. If you use Conda, it is highly recommended to create a new environment:

conda create -n vit-mcp python=3.11
conda activate vit-mcp

2. Install Dependencies

Clone this repository and install the required packages:

git clone https://github.com/Inesh03/VIT-STUDENT-MCP-SERVER.git
cd VIT-STUDENT-MCP-SERVER
pip install -r requirements.txt

3. Install Playwright Browsers

The scraper requires headless Chromium to run:

playwright install chromium

🔄 How to Sync Your Data

Before Claude can answer questions, you need to pull your latest data from VTOP into the local database.

Run the sync script in your terminal:

python src/sync.py

You will be prompted to enter your Registration Number and Password. The script will open a hidden browser, solve the Captcha automatically, and download your entire academic profile!

🤖 Connecting to Claude Desktop

To let Claude access your data, you need to add this project as an MCP Server.

1. Open your Claude Desktop Configuration File:
   • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add the following entry, making sure to replace the path with the actual absolute path to the project on your machine:

{
  "mcpServers": {
    "vit-student": {
      "command": "python",
      "args": [
        "/path/to/your/VIT-STUDENT-MCP-SERVER/src/server.py"
      ]
    }
  }
}

(If you are using Conda, replace "python" with the absolute path to your Conda environment's python executable, e.g., /opt/miniconda3/envs/vit-mcp/bin/python)

3. Restart Claude Desktop. You should now see the "plug" icon, meaning your VIT Assistant is ready!

⚠️ Disclaimer

This tool is entirely local. Your VTOP password is never saved anywhere, and your academic data is stored only in a local SQLite file (vit_student.db) on your own hard drive.