MCP Slack Python

🚀 MCP Demo Project

This repository contains the implementation of the MCP (Model Control Protocol) demo project, which provides a practical demonstration of the MCP's capabilities.

🚀 Quick Start

Prerequisites

• Ensure you have uv installed. If not, you can install it by running the following command:

curl -LsSf https://astral.sh/uv/install.sh | sh

Steps

1. Clone the repository:

git clone <repository-url>
cd mcp-demo

2. Create and activate a virtual environment using uv:

uv venv
source .venv/bin/activate  # On Unix/macOS systems
# Or
.venv\Scripts\activate     # On Windows

3. Install the dependencies using uv:

uv pip install -e .

4. Configure the environment variables:

cp .env.example .env
# Edit the .env file as needed

5. Run the main application:

python main.py

Running Tests

To run the test suite, use the following command:

pytest

✨ Features

This project showcases the implementation of the MCP through a practical application, demonstrating its core features and usage scenarios.

📦 Installation

Clone the Repository

git clone <repository-url>
cd mcp-demo

Install uv

curl -LsSf https://astral.sh/uv/install.sh | sh

Create and Activate a Virtual Environment

uv venv
source .venv/bin/activate  # On Unix/macOS systems
# Or
.venv\Scripts\activate     # On Windows

Install Dependencies

uv pip install -e .

Configure Environment Variables

cp .env.example .env
# Edit the .env file as needed

💻 Usage Examples

Basic Usage

To start the application, follow these steps:

1. Activate the virtual environment:

source .venv/bin/activate  # On Unix/macOS systems
# Or
.venv\Scripts\activate     # On Windows

2. Run the main application:

python main.py

📚 Documentation

Project Structure

mcp-demo/
├── main.py         # Main entry point of the application
├── tools/          # Tools and helper functions
├── tests/          # Test suite
├── .env           # Environment variables (not tracked in Git)
└── pyproject.toml  # Project dependencies and configuration

Development Information

This project utilizes the following tools and technologies:

• Python as the core implementation language
• uv for dependency management and virtual environment configuration
• pytest as the testing framework
• pyproject.toml for project configuration

📄 License

[Add license information here]