MCP Demo
@sunithvs
About MCP Demo
Mcp server of slack with python
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-slack-python": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Demo?
MCP Demo is a demonstration project for the Model Control Protocol (MCP). It provides a basic application structure and example code to help developers get started with MCP.
How to use MCP Demo?
Clone the repository, install uv, create and activate a virtual environment, install dependencies with uv pip install -e ., configure environment variables in a .env file, then run python main.py. Tests are executed with pytest.
Key features of MCP Demo
- Demonstrates the Model Control Protocol
- Main application entry point (
main.py) - Utility tools and helper functions (
tools/) - Test suite using pytest (
tests/) - Dependency management with uv
- Environment variable configuration (
.env)
Use cases of MCP Demo
- Learning the Model Control Protocol
- Developing and testing MCP tools
- Setting up a Python project with uv and pytest
- Understanding MCP project structure
FAQ from MCP Demo
What is MCP?
MCP stands for Model Control Protocol, and this project is a demonstration of that protocol.
What are the runtime dependencies?
The project uses Python, uv for dependency management, and pytest for testing. Dependencies are listed in pyproject.toml.
How do I run the application?
Activate the virtual environment and run python main.py.
How do I run the tests?
Activate the virtual environment and run pytest.
How do I configure environment variables?
Copy .env.example to .env and edit the file with your configuration.
Frequently asked questions
What is MCP?
MCP stands for Model Control Protocol, and this project is a demonstration of that protocol.
What are the runtime dependencies?
The project uses Python, uv for dependency management, and pytest for testing. Dependencies are listed in `pyproject.toml`.
How do I run the application?
Activate the virtual environment and run `python main.py`.
How do I run the tests?
Activate the virtual environment and run `pytest`.
How do I configure environment variables?
Copy `.env.example` to `.env` and edit the file with your configuration.
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