KLH Campus Assistant — MCP Demo

A Model Context Protocol (MCP) server for KLH University Hyderabad, built with FastMCP. It exposes 7 tools (CGPA calculator, schedule-conflict checker, study-group finder, course search, club finder, exam schedule, library lookup) and 2 resources (campus FAQ, curriculum requirements) over local stdio — no deployment, no network service, just Python.

Files

• server.py — the MCP server. Run directly with python server.py (it will idle waiting for a client — that's expected).

• client.py — a terminal demo that connects to the server and drives a scripted conversation through Claude.

• web/app.py + web/index.html — a small FastAPI + browser chat UI for a live, on-screen demo.

• requirements.txt — all dependencies for server, CLI client, and web demo.

Related MCP server: mydy-lms

Setup & Running the Demo

Requirements

• Python 3.10+ (project written for Python 3.14)

• An Anthropic API key (get one at https://console.anthropic.com/keys)

Step 1: Install Dependencies

Open a terminal in this folder and run:

pip install -r requirements.txt

Step 2: Set Your API Key

You need to set your Anthropic API key as an environment variable:

On macOS/Linux:

export ANTHROPIC_API_KEY=sk-ant-...

(Replace sk-ant-... with your actual API key)

On Windows (Command Prompt):

set ANTHROPIC_API_KEY=sk-ant-...

On Windows (PowerShell):

$env:ANTHROPIC_API_KEY="sk-ant-..."

Step 3: Run the Terminal Demo (Fastest)

Run this command to see the MCP server in action with a scripted demo:

python client.py

This will automatically start the MCP server and walk through several examples:

• CGPA calculation

• Schedule conflict checking

• Study group search

• Club search

Step 4: Run the Interactive Web Chat (Recommended)

For a live, interactive demo with a visual UI:

# Navigate to the web folder
cd web

# Start the app (on Windows, use 'python -m uvicorn' instead)
uvicorn app:app --reload --port 8000

Then open your browser and go to http://localhost:8000

• Paste your API key into the page

• Chat with the assistant — every tool call appears as an expandable card

• Try queries like:

  • "What's my CGPA?"

  • "Do I have any schedule conflicts?"

  • "Find study groups for Data Structures"

  • "List all clubs at KLH"

Troubleshooting

• ModuleNotFoundError: Make sure you installed dependencies with pip install -r requirements.txt

• API key errors: Verify your API key is set correctly (it should start with sk-ant-)

• Port 8000 already in use: Try a different port: uvicorn app:app --reload --port 8001