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MCP Demo

@sunithvs

Repository

Basic information

Category

Communication

Transports

stdio

Author

sunithvs

About MCP Demo

Mcp server of slack with python

#mcp#slack#python#demo

MCP Demo config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-slack-python": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Demo tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Frequently asked questions

1

What is MCP?

MCP stands for Model Control Protocol, and this project is a demonstration of that protocol.

2

What are the runtime dependencies?

The project uses Python, uv for dependency management, and pytest for testing. Dependencies are listed in `pyproject.toml`.

3

How do I run the application?

Activate the virtual environment and run `python main.py`.

4

How do I run the tests?

Activate the virtual environment and run `pytest`.

5

How do I configure environment variables?

Copy `.env.example` to `.env` and edit the file with your configuration.

Comments

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