CN

Claude Notification Server

A Model Context Protocol (MCP) server that provides notifications for Claude Desktop on macOS. It plays configurable system sounds when Claude completes a task, enhancing user experience by eliminating the need for constant visual monitoring.

#macos#mcp
Created by charles-adedotun2025/04/09
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What is Claude Notification Server?

What is Claude Notification Server? Claude Notification Server is a lightweight Model Context Protocol (MCP) server designed to provide auditory and visual notifications for the Claude Desktop application on macOS. It enhances user experience by notifying users when Claude starts and completes tasks, eliminating the need for constant visual monitoring. How to use Claude Notification Server? To use the server, clone the repository, install the necessary dependencies, and register it with Claude Desktop. After installation, it will automatically connect to Claude and provide notifications during task processing. Key features of Claude Notification Server? 🔔 Different sound notifications for task start and completion 💻 Compatible with macOS native system sounds 🎵 Customizable notification sounds via environment variables 🔔 Visual notifications through macOS Notification Center 🚀 Simple setup with minimal dependencies Use cases of Claude Notification Server? Notifying users when Claude begins processing a request. Alerting users when Claude completes a task. Customizing notification sounds for a personalized experience. FAQ from Claude Notification Server? Can I customize the notification sounds? Yes! You can set custom sounds using environment variables. Is it compatible with all versions of macOS? The server is designed to work on macOS with Python 3.8+. How do I troubleshoot if notifications are not working? Check your notification permissions in System Preferences and ensure the server is running correctly.

As an MCP (Model Context Protocol) server, Claude Notification Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Claude Notification Server

To use the server, clone the repository, install the necessary dependencies, and register it with Claude Desktop. After installation, it will automatically connect to Claude and provide notifications during task processing. Key features of Claude Notification Server? 🔔 Different sound notifications for task start and completion 💻 Compatible with macOS native system sounds 🎵 Customizable notification sounds via environment variables 🔔 Visual notifications through macOS Notification Center 🚀 Simple setup with minimal dependencies Use cases of Claude Notification Server? Notifying users when Claude begins processing a request. Alerting users when Claude completes a task. Customizing notification sounds for a personalized experience. FAQ from Claude Notification Server? Can I customize the notification sounds? Yes! You can set custom sounds using environment variables. Is it compatible with all versions of macOS? The server is designed to work on macOS with Python 3.8+. How do I troubleshoot if notifications are not working? Check your notification permissions in System Preferences and ensure the server is running correctly.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Claude Notification Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Claude Notification Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.