🎓 Student Support Agentic AI using FastMCP

This project is an AI-powered student support agent built using FastMCP (Fast Modular Cognitive Processing). The goal is to assist students in navigating course content, answering academic queries, and automating routine support tasks using modular and agentic AI capabilities.

🚀 Features

• 🔍 Context-aware academic query answering
• 🧠 Modular agent-based architecture using Claude's FastMCP
• 📊 Dynamic course data handling via JSON datasets
• 💬 Prompt-optimized interactions with ChatGPT, Claude, and Gemini
• 🤖 Extensible pipeline for integrating new tools and workflows

📁 Project Structure

student\_support\_agent/
├── dataset/
│   └── mock\_course\_data.json   # Sample academic content for agent reference
├── main.py                     # Entry point for running the AI agent
├── LICENSE                     # MIT License
├── README.md                   # You're here
├── .gitignore
├── pyproject.toml              # Python project config
└── .python-version             # Python version specification

⚙️ Tech Stack

• Claude FastMCP for modular cognitive workflows
• OpenAI GPT / ChatGPT for natural language generation
• Google Gemini for enhanced research and academic support
• Python 3.10+ as the core development language

📌 Use Cases

• Answering student doubts on course topics
• Recommending resources based on query context
• Automating repetitive student queries
• Providing summaries and explanations of difficult topics

🛠️ Installation

This is a prototype, so the following steps assume a local development setup.

Clone the repository

git clone https://github.com/PratikPorc/Student-Support-Agentic-AI-using-FastMCP.git cd Student-Support-Agentic-AI-using-FastMCP

(Optional) Create and activate a virtual environment

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

Install dependencies

pip install -r requirements.txt # or use pyproject.toml with poetry/pdm

Run the agent

python main.py

🌐 Future Improvements

• Web interface for student interaction
• Real-time chat integration
• Multi-language academic support
• Integration with LMS (e.g., Moodle, Google Classroom)

📜 License

This project is licensed under the MIT License – see the LICENSE file for details.

🤝 Contributions & Feedback

Contributions, ideas, or improvements are welcome! Feel free to open issues or submit pull requests.