- 🎵 Notification MCP: Sounding Success in AI Tasks 🎉
🎵 Notification MCP: Sounding Success in AI Tasks 🎉
🎵 Notification MCP: Sounding Success in AI Tasks 🎉
Welcome to the Notification MCP repository! This project provides a Model Context Protocol (MCP) server designed to enable AI agents to play notification sounds upon task completion. With this server, you can enhance your AI workflows by adding auditory feedback, making it easier to track task statuses.
Table of Contents
Features
- AI Integration: Seamlessly integrate with AI agents to enhance task management.
- Sound Notifications: Play custom sounds when tasks are completed.
- TypeScript Support: Built using TypeScript for type safety and better development experience.
- Node.js Compatibility: Runs on Node.js, ensuring a robust and scalable server.
- MCP Compliance: Follows the Model Context Protocol standards for consistency and reliability.
Getting Started
To get started with the Notification MCP server, follow the steps below. Make sure you have Node.js installed on your machine.
Prerequisites
- Node.js (version 14 or higher)
- TypeScript (installed globally)
You can download Node.js from nodejs.org.
Installation
-
Clone the repository:
git clone https://github.com/harunnn7774/notification-mcp.git -
Navigate to the project directory:
cd notification-mcp -
Install the dependencies:
npm install
Usage
-
Start the Server:
Run the following command to start the MCP server:
npm start -
Configure Your AI Agent:
Your AI agent should connect to the MCP server and listen for task completion events. When an event occurs, the server will trigger the corresponding notification sound.
-
Playing Sounds:
You can customize the sounds that play by modifying the configuration files in the
configdirectory. Ensure that the sound files are accessible to the server.
Example Configuration
Here’s an example configuration file for your AI agent:
{
"agentName": "TaskNotifier",
"serverUrl": "http://localhost:3000",
"notificationSound": "path/to/sound/file.mp3"
}
Sample Agent Code
Below is a simple example of how your AI agent might look:
import { MCPClient } from 'mcp-client';
const client = new MCPClient('http://localhost:3000');
client.on('taskCompleted', (task) => {
console.log(`Task ${task.id} completed!`);
client.playSound(task.notificationSound);
});
Contributing
We welcome contributions! If you would like to contribute to the Notification MCP project, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them.
- Push your changes to your fork.
- Create a pull request.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Contact
For any inquiries or support, feel free to reach out:
- Email: support@example.com
- GitHub: harunnn7774
Releases
You can find the latest releases of the Notification MCP server here. Make sure to download the appropriate version for your needs and follow the installation instructions.
If you need further assistance, check the "Releases" section for updates and additional resources.
Conclusion
The Notification MCP server is a powerful tool for integrating sound notifications into your AI workflows. With its simple setup and clear configuration, you can enhance your applications with auditory feedback that keeps you informed about task completions.
Thank you for visiting the Notification MCP repository. We hope you find this project useful and look forward to your contributions!