Frequently Asked Questions about Notifications MCP Server

Q: What is the Notifications MCP Server? A: The Notifications MCP Server is a Model Context Protocol (MCP) server that allows AI agents to play notification sounds when tasks are completed. It provides auditory feedback to enhance task monitoring and user experience.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to LLMs. It acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What platforms does the Notifications MCP Server support? A: The Notifications MCP Server supports both Windows and macOS.

Q: Does the Notifications MCP Server come with pre-installed sounds? A: Yes, it includes a bundled sound library with five high-quality notification sounds: cosmic, fairy, gentle, pleasant, and retro.

Q: Can I use my own custom sound files? A: Yes, the Notifications MCP Server supports custom MP3 sound files. You can specify the path to your file using the MCP_NOTIFICATION_SOUND_PATH environment variable.

Q: How do I choose which notification sound to use? A: You can select a sound using the MCP_NOTIFICATION_SOUND environment variable. Options include cosmic, fairy, gentle, pleasant, retro, and random.

Q: How do I install the Notifications MCP Server? A: The recommended method is to use NPX: npx @pinkpixel/notification-mcp. Alternatively, you can install it globally or locally using NPM.

Q: Do I need to install the sound files separately? A: No, the sound files are automatically included when you install the package.

Q: How do I use the play_notification tool? A: You can call the play_notification tool from your MCP client with an optional message parameter:

typescript await client.request({ method: “tools/call”, params: { name: “play_notification”, arguments: { message: “Task completed successfully! 🎉” } } });

Q: How can I integrate Notifications MCP Server with UBOS? A: By using UBOS Agent orchestration features. Notifications MCP Server can be used to signal when data integration tasks are completed successfully, ensure data is up-to-date and accurate. It can be integrated into custom agents to provide auditory feedback on task completion, enhancing the user experience. Coordinate tasks between agents, signaling when one agent has completed its work and another can begin

Q: Where can I find the sound files? A: The sound files are located in the sounds/ directory within the package.

Q: How do I contribute to the project? A: Please see the CONTRIBUTING.md file on the GitHub repository for guidelines.