Mcp Slack Python
What is Mcp Slack Python
mcp-slack-python is a demonstration project for the Model Control Protocol (MCP) implemented in Python, designed to facilitate interactions with Slack.
Use cases
Use cases include creating Slack bots, automating notifications for events, and integrating Slack with other applications to enhance team collaboration.
How to use
To use mcp-slack-python, clone the repository, set up a virtual environment, install dependencies, configure environment variables, and run the main application using Python.
Key features
Key features include a structured project layout, dependency management with uv, a test suite using pytest, and easy configuration through environment variables.
Where to use
mcp-slack-python can be used in software development environments where integration with Slack is required, particularly for automation, notifications, and real-time communication.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Slack Python
mcp-slack-python is a demonstration project for the Model Control Protocol (MCP) implemented in Python, designed to facilitate interactions with Slack.
Use cases
Use cases include creating Slack bots, automating notifications for events, and integrating Slack with other applications to enhance team collaboration.
How to use
To use mcp-slack-python, clone the repository, set up a virtual environment, install dependencies, configure environment variables, and run the main application using Python.
Key features
Key features include a structured project layout, dependency management with uv, a test suite using pytest, and easy configuration through environment variables.
Where to use
mcp-slack-python can be used in software development environments where integration with Slack is required, particularly for automation, notifications, and real-time communication.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Demo
This repository contains the MCP (Model Control Protocol) demonstration project.
Project Structure
mcp-demo/ ├── main.py # Main application entry point ├── tools/ # Utility tools and helper functions ├── tests/ # Test suite ├── .env # Environment variables (not tracked in git) └── pyproject.toml # Project dependencies and configuration
Setup
-
Clone the repository:
git clone <repository-url> cd mcp-demo -
Install uv (if not already installed):
curl -LsSf https://astral.sh/uv/install.sh | sh -
Create and activate virtual environment using uv:
uv venv source .venv/bin/activate # On Unix/macOS # OR .venv\Scripts\activate # On Windows -
Install dependencies using uv:
uv pip install -e . -
Configure environment variables:
cp .env.example .env # Edit .env with your configuration
Running the Application
-
Activate the virtual environment (if not already activated):
source .venv/bin/activate # On Unix/macOS # OR .venv\Scripts\activate # On Windows -
Run the main application:
python main.py
Running Tests
To run the test suite:
pytest
Development
This project uses:
- Python for the core implementation
- uv for dependency management and virtual environments
- pytest for testing
- pyproject.toml for project configuration
License
[Add your license information here]
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
