Update README.md

README.md

@@ -7,72 +7,4 @@ sdk: docker
 sdk_version: "3.11"
 app_file: mcp_task_client.py
 pinned: false
----
-
-# 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.
-
-## 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
-```
+---