Update README.md

README.md

@@ -9,4 +9,74 @@ app_file: mcp_task_client.py
 pinned: false
 license: mit
 short_description: MCP Task Manager CLI
----
+---
+
+# Model Context Protocol (MCP) Example Implementation
+
+This repository demonstrates the implementation of the Model Context Protocol (MCP), a standardized approach for managing context in AI/ML models.
+
+To get more details, look at the post [How to create an MCP server and client with an LLM](https://jstoppa.com/posts/how-to-create-an-mcp-server-and-client-with-an-llm/post/)
+
+## Overview
+
+MCP (Model Context Protocol) is a protocol designed to standardize how context is handled when working with AI/ML models. This example repository shows how to implement and use MCP in your projects.
+
+## Getting Started
+
+### Prerequisites
+
+- Python 3.8 or higher
+- pip (Python package installer)
+
+### Setup Virtual Environment
+
+#### Windows
+First, open Command Prompt and follow these steps:
+
+1. Create and navigate to your project directory:
+```bash
+cd mcp_example
+```
+
+2. Create a virtual environment:
+```bash
+python -m venv app
+```
+
+3. Activate the virtual environment:
+```bash
+venv\Scripts\activate
+```
+
+4. Your prompt should now show "(venv)" at the beginning, indicating the virtual environment is active.
+
+5. Install required packages:
+```bash
+pip install -r requirements.txt
+```
+
+#### macOS
+Open Terminal and follow these steps:
+
+1. Create and navigate to your project directory:
+```bash
+mkdir mcp_example
+cd mcp_example
+```
+
+2. Create a virtual environment:
+```bash
+python3 -m venv venv
+```
+
+3. Activate the virtual environment:
+```bash
+source venv/bin/activate
+```
+
+4. Your prompt should now show "(venv)" at the beginning, indicating the virtual environment is active.
+
+5. Install required packages:
+```bash
+pip install -r requirements.txt
+```