Model Context Protocol (MCP) Implementations

This repository contains example implementations of the Model Context Protocol (MCP). MCP is a protocol designed for [Briefly explain what MCP is or its goal here - you'll need to fill this in].

Currently, this project includes the following MCP implementations:

1. Internet Search MCP: Demonstrates using MCP to interact with internet search functionalities.
2. Addition Test MCP: A simple example showcasing MCP for basic arithmetic operations (addition).

🚀 Features

• Example implementation of an MCP for internet searching.
• Example implementation of an MCP for simple addition tasks.
• [I will add more feature after developing them]

📋 Prerequisites

• Python 3.x (or specify other language/tools if needed)
• Git
• Basic Python programming knowledge:
  • Understanding of functions and classes
  • Familiarity with Python package management
  • Basic knowledge of async/await concepts
• Basic AI/ML knowledge:
  • Understanding of LLMs and their capabilities
  • Familiarity with prompt engineering concepts
  • Basic knowledge of context windows and tokens
• Basic development tools:
  • Code editor (VS Code recommended)
  • Terminal/Command line interface
  • Package manager (pip/uv)

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/Cyber24BD/fastMCP-Tutorial.git

2. Install dependencies using uv:

   # Install uv if you haven't already
   curl -LsSf https://astral.sh/uv/install.sh | sh
   
   # Install requirements using uv
   uv pip install -r requirements.txt