MCP Server V3

🚀 MCP Server AI Chrome Extension

A lightweight AI browser extension that connects to a Flask-based MCP server, enabling users to perform complex BODMAS (Brackets, Orders, Division, Multiplication, Addition, Subtraction) calculations directly in the browser.

🚀 Quick Start

This MCP Server AI Chrome Extension is a powerful yet simple tool that simplifies complex mathematical calculations. Here's how it works and how you can get started.

✨ Features

• 📚 Supports complex mathematical expressions following the full BODMAS priority.
• ⚡ Performs real-time calculations through the backend AI MCP server.
• 🧠 The server is equipped with decision-making and memory modules to handle user inputs.
• 🌐 Features a simple and intuitive browser extension interface.
• 🔌 Facilitates easy communication between the Chrome extension and the Flask API server.

🏗️ Project Structure

MCP-Server-V3/
│
├── flask-api/
│   ├── action.py           # File for handling mathematical operations
│   ├── decision.py         # Makes decisions based on parsed user inputs
│   ├── memory.py           # Maintains session memory and history
│   ├── mcp_server.py       # The main Flask server running the API
│   ├── mcp_client.py       # Client-side tools (if needed)
│   ├── models.py           # Defines data models for input and output
│   ├── perception.py       # Parses and understands user queries
│   └── requirements.txt    # List of Python dependencies
│
├── chrome-extension/
│   ├── manifest.json       # Chrome extension manifest file
│   ├── popup.html          # Front-end interface for the extension popup
│   ├── popup.js            # JavaScript logic for interacting with the backend server
│
├── requirements.txt        # Top-level dependency list
│
└── README.md               # 📄  (Current location!)

🚀 How It Works

1. User Interaction:
   • The user opens the Chrome extension popup.
   • Enters a mathematical expression (e.g., 5 * (3 + 2) - 4 / 2).
2. Chrome Extension (Front-end):
   • Captures the user input.
   • Sends a POST request to the Flask MCP server API.
3. Flask API (Backend Server):
   • Parses the input using perception.py.
   • Calculates the result following BODMAS rules through decision.py and action.py.
   • Returns the final result to the Chrome extension.
4. Result Display:
   • The extension receives the response.
   • Displays the calculation result in the popup for the user to view.

📦 Installation

1. Set Up the MCP Server

# Clone the repository
git clone https://github.com/shettysaish20/MPC-Server.git

# Navigate to the project directory
cd MPC-Server

# Install dependencies
pip install -r requirements.txt

2. Start the Server

# Run in the flask-api directory
python mcp_server.py

📄 License

This project is licensed under the MIT License.

📋 Important Note

• Ensure that Python and the Flask framework are installed.
• Check that all dependencies are correctly installed.

🔄 Changelog

• Version 1.0: Initial release, supporting basic BODMAS calculations.
• Version 2.0: Optimized performance and enhanced error handling.