jstoppa/mcp_example

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

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. 1.Create and navigate to your project directory:

cd mcp_example

1. 1.Create a virtual environment:

python -m venv app

1. 1.Activate the virtual environment:

venv\Scripts\activate

1. 1.Your prompt should now show "(venv)" at the beginning, indicating the virtual environment is active.

1. 1.Install required packages:

pip install -r requirements.txt

macOS

Open Terminal and follow these steps:

1. 1.Create and navigate to your project directory:

mkdir mcp_example
cd mcp_example

1. 1.Create a virtual environment:

python3 -m venv venv

1. 1.Activate the virtual environment:

source venv/bin/activate

1. 1.Your prompt should now show "(venv)" at the beginning, indicating the virtual environment is active.

1. 1.Install required packages:

pip install -r requirements.txt