AI Agent for ntfy-mcp
Seamlessly integrate ntfy-mcp to receive instant ntfy notifications whenever your AI assistant completes a task. Effortlessly stay updated on task completion, so you can focus on what matters while your code runs in the background. Ideal for developers and teams leveraging the Model Context Protocol, ntfy-mcp ensures you never miss a key update.
Effortless Task Completion Notifications
Stay informed in real-time as ntfy-mcp delivers notifications directly to your devices when your AI assistant completes a task. No more manual checking or interruptions—just instant, reliable alerts so you can relax and focus on your priorities.
- Real-Time Notifications.
- Receive instant ntfy alerts the moment tasks finish, keeping you up-to-date without manual refresh.
- Cross-Device Delivery.
- Get notifications on your phone or desktop with the ntfy app, ensuring you're always informed wherever you are.
- Productivity Boost.
- Spend less time waiting and checking—ntfy-mcp lets you focus on deep work and enjoy your break while staying updated.
- Easy Integration.
- Connect effortlessly with the Model Context Protocol—just install, configure, and start getting notified.
Simple Setup, Maximum Convenience
ntfy-mcp is designed for quick deployment and minimal configuration. With a few steps, you can clone, install, and connect to start receiving notifications. Enjoy a hassle-free setup process that gets you up and running in minutes.
- Quick Installation.
- Clone and install in seconds—no complex steps or lengthy setup required.
- Flexible Configuration.
- Customize your ntfy topic and notification preferences to fit your workflow.
- Easy Start.
- Start manually or configure for automated operation with simple JSON settings.
Seamless Protocol Integration
ntfy-mcp leverages the Model Context Protocol for smooth and reliable integration with your AI workflows. Benefit from a robust notification pipeline powered by trusted open-source dependencies, ensuring compatibility and extensibility.
- MCP Compatibility.
- Works seamlessly with the Model Context Protocol for advanced AI assistant workflows.
- Open Source.
- Built with transparent, open-source technology for flexibility and trust.
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What is ntfy-mcp
ntfy-mcp is a Model Context Protocol (MCP) server that integrates with the ntfy notification service to provide real-time alerts for task completion by AI assistants. Developed by teddyzxcv, ntfy-mcp enables seamless communication between AI systems and users by sending notifications directly to your mobile device or desktop through ntfy.sh. It operates as a notification butler, keeping users informed without requiring them to constantly monitor their AI's progress. The server is open-source, licensed under Apache 2.0, and can be hosted remotely on Linux or Apple systems. Its main goal is to improve productivity and peace of mind by ensuring users receive timely updates the moment their automated or AI-driven tasks are finished.
Capabilities
What we can do with ntfy-mcp
ntfy-mcp allows users and AI systems to leverage real-time notifications for task completion, making it ideal for monitoring long-running AI processes, automating workflows, and staying productive without manual checks. Integrating with the ntfy service, it enables seamless communication between AI agents and users.
- Receive instant notifications
- Get notified on your mobile or desktop as soon as an AI task is completed.
- Monitor AI workflow remotely
- Track the progress of your AI assistants or automated scripts without needing to be present.
- Automate and relax
- Set up AI automations and enjoy hands-off operation, knowing you’ll be alerted when action is needed.
- Integrate with MCP tools
- Works with other MCP-compatible servers and tools to create robust, automated pipelines.
- Open-source and flexible
- Modify, self-host, and extend the server to fit custom notification needs in your environment.
What is ntfy-mcp
AI agents and developers benefit from ntfy-mcp by receiving automated, real-time notifications for completed tasks, reducing the need for constant manual monitoring. This boosts productivity, enables more efficient workflows, and ensures that important updates are never missed, especially during long or unattended AI processes.