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# Model Context Protocol (MCP) Example Implementation
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> **Status**: Development Stopped/Archived (Last update: 1 file changed)
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This repository demonstrates the implementation of the Model Context Protocol (MCP), a standardized approach for managing context in AI/ML models.
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## Overview
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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.
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## Getting Started
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### Prerequisites
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- Python 3.8 or higher
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- pip (Python package installer)
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### Setup Virtual Environment
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#### Windows
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First, open Command Prompt and follow these steps:
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1. Create and navigate to your project directory:
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```bash
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cd mcp_example
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```
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2. Create a virtual environment:
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```bash
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python -m venv app
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```
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3. Activate the virtual environment:
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```bash
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venv\Scripts\activate
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```
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4. Your prompt should now show "(venv)" at the beginning, indicating the virtual environment is active.
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5. Install required packages:
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```bash
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pip install -r requirements.txt
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```
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#### macOS
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Open Terminal and follow these steps:
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1. Create and navigate to your project directory:
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```bash
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mkdir mcp_example
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cd mcp_example
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```
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2. Create a virtual environment:
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```bash
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python3 -m venv venv
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```
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3. Activate the virtual environment:
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```bash
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source venv/bin/activate
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```
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4. Your prompt should now show "(venv)" at the beginning, indicating the virtual environment is active.
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5. Install required packages:
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```bash
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pip install -r requirements.txt
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```
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