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MCP Demo

MCP Demo

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github.com/sunithvsCommunication1Updated 81w ago
Repository

About MCP Demo

MCP Demo is a Python demonstration project for a Slack MCP server. Its README describes a small application structure, setup, execution, and tests, but does not specify the server's Slack capabilities.

Key features

  1. 01Python application entry point
  2. 02Utility tools directory
  3. 03pytest test suite
  4. 04uv-based environment setup

Use cases

  1. 01Exploring a basic Python MCP demo project
  2. 02Setting up the project with uv
  3. 03Running the application and tests

MCP support

The project is described as a Slack MCP server demonstration, but the README does not state which Slack functions or resources it exposes.

#mcp#slack#python#demo

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

  1. Clone the repository:

    git clone <repository-url>
cd mcp-demo

  2. Install uv (if not already installed):

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

  3. Create and activate virtual environment using uv:

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

  4. Install dependencies using uv:

    uv pip install -e .

  5. Configure environment variables:

    cp .env.example .env
# Edit .env with your configuration

Running the Application

  1. Activate the virtual environment (if not already activated):

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

  2. 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]

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.