FAST-NUCES Flex Student Portal MCP Server

FAST-NUCES Flex Student Portal MCP Server

Connects AI assistants to the FAST-NUCES Flex Student Portal, enabling students to query their academic data including attendance, marks, transcript, and fee reports through natural language conversations.

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README

FAST-NUCES flex Student Portal MCP Server

An MCP server that connects AI assistants like Claude Desktop or GitHub Copilot directly to your Flex Student Portal. Ask questions about your academic data in plain English.

What Can You Do?

Once connected, just chat naturally:

Ask This Get This
"Roast my transcript" A brutally honest AI review of your transcript
"Am I passing PF?" Quick calculation of your current standing
"How many classes did I bunk?" Attendance reality check
"Compare my marks to class average" See where you stand vs classmates

Requirements

  • Python 3.11+
  • Google Chrome installed (for login automation)
  • Claude Desktop or GitHub Copilot (with MCP support)

Installation

  1. Clone and install dependencies:

    git clone <repo-url>
    cd FLEX
    pip install -r requirements.txt
    
  2. Create .env file with your credentials:

    FLEX_ROLL_NO=22F-XXXX
    FLEX_PASSWORD=your_password
    
  3. Configure your MCP client:

    <details> <summary><b>Claude Desktop</b></summary>

    Edit %APPDATA%\Claude\claude_desktop_config.json:

    {
      "mcpServers": {
        "flex": {
          "command": "python",
          "args": ["C:/path/to/FLEX/server.py"],
          "env": {
            "FLEX_ROLL_NO": "22F-XXXX",
            "FLEX_PASSWORD": "your_password"
          }
        }
      }
    }
    

    </details>

    <details> <summary><b>GitHub Copilot</b></summary>

    Add to your MCP settings:

    {
      "flex": {
        "command": "python",
        "args": ["C:/path/to/FLEX/server.py"]
      }
    }
    

    </details>

Usage

  1. Start your MCP client (Claude Desktop / Copilot)
  2. The first time, say "Login to FLEX" ,Chrome will open for CAPTCHA
  3. If image CAPTCHA appears, solve it manually (you have 2 minutes)
  4. Once logged in, ask away!

Available Tools

Tool Description
login Opens Chrome for CAPTCHA-authenticated login
get_attendance Fetches attendance for all courses
get_marks Gets detailed marks with class statistics
get_transcript Full academic transcript with GPAs
get_mca Modified Class Average for relative grading
get_courses Current semester registered courses
get_fee_report Payment history and fee details
check_login_status Verify if session is active

Project Structure

FLEX/
├── server.py           # MCP entry point
├── auth.py             # Login & session management
├── tools/              # MCP tool implementations
│   ├── login.py
│   ├── attendance.py
│   ├── marks.py
│   ├── transcript.py
│   ├── mca.py
│   ├── courses.py
│   ├── fees.py
│   └── status.py
└── parsers/            # HTML parsing logic
    ├── attendance.py
    ├── marks.py
    ├── transcript.py
    ├── courses.py
    ├── fees.py
    └── challan.py

Notes

  • Login session persists until you restart the MCP server
  • Chrome must be installed (Other browsers are not supported, well if you can add support please do)
  • Your credentials are only used locally, never transmitted elsewhere
  • Image CAPTCHAs require manual solving, the browser stays open for you

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