About
A Model Context Protocol server that lets AI agents play bundled notification sounds when tasks finish. It supports cross‑platform playback and offers a library of high‑quality sounds out of the box.
Capabilities

The Notifications MCP Server solves a common pain point for developers building AI‑powered workflows: the need to give users audible feedback when an automated task finishes. In many conversational or automation scenarios, a silent completion can leave users uncertain whether the assistant truly executed an action. By exposing a simple tool, this server lets AI agents trigger sound cues that confirm task success or alert users to new information. This is especially valuable in long‑running jobs, batch processing pipelines, or interactive voice assistants where visual cues may be limited.
At its core, the server is a lightweight TypeScript implementation that runs as an MCP endpoint. Once started, it offers a single tool capable of playing one of several high‑quality notification tones. The sounds are bundled directly with the package, eliminating external dependencies or manual downloads—developers can ship a ready‑to‑use notification system with just an command. The tool accepts an optional message, allowing the AI to display a brief caption alongside the audible cue, which is useful for conveying context or error information.
Key capabilities include cross‑platform sound playback (Windows and macOS), a choice of five curated tones ranging from whimsical to professional, and an automatic “random” mode that selects a different sound each time. Configuration is straightforward: the desired tone can be set via an environment variable (), with a sensible default that works out of the box. Because the server is built on standard Node.js and TypeScript, it integrates seamlessly into existing MCP ecosystems and can be invoked from any AI assistant that supports the protocol.
Real‑world use cases abound. In a customer support chatbot, a notification sound can signal that an email has been sent or a ticket updated. In continuous integration pipelines, the server can alert developers when builds succeed or fail without requiring a terminal pop‑up. For educational bots, auditory cues can reinforce learning checkpoints or quiz completions. Even simple personal productivity tools—like a habit tracker or reminder app—can benefit from an audible “task completed” signal to reinforce user engagement.
What sets this MCP server apart is its zero‑friction deployment model and thoughtful sound library. By bundling the audio assets, developers avoid licensing headaches or CDN dependencies, ensuring consistent behavior across environments. The ability to randomize tones adds a layer of user experience polish, preventing monotony in repetitive workflows. Overall, the Notifications MCP Server provides a plug‑and‑play solution that enhances AI interactions with clear, pleasant auditory feedback—making automated processes feel more responsive and trustworthy.
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