Overview

The MCP Notify Server is a lightweight, cross‑platform service that turns any Model Context Protocol (MCP) agent into an audible and visual notifier. When a task or prompt chain finishes, the server sends a system‑level desktop notification and plays a short alert sound. This feature is invaluable for developers who run long‑running or background AI workflows and want an immediate, non‑intrusive cue that a step has completed—without constantly monitoring logs or terminal output.

At its core, the server implements the standard MCP interface so it can be added to any MCP‑compatible client such as Claude Desktop, Cursor, or VS Code Copilot. Once configured, a simple cue phrase like “finally, send me a notification when task finished” can be appended to a prompt, and the agent will trigger the server at the appropriate moment. The notification payload is customizable (title, message, icon) and the sound file is bundled with the package, ensuring consistent behavior across Windows, macOS, and Linux.

Key capabilities include:

• Immediate visual feedback: System notifications appear on the desktop, catching the user’s eye even when they are away from the terminal.
• Audible alerts: A short, pre‑packaged sound plays alongside the notification to guarantee that the completion is noticed even in noisy or multitasking environments.
• Cross‑platform support: Leveraging the Apprise library, the server works on Windows (via pywin32), macOS (requires terminal‑notifier), and Linux, making it suitable for diverse development setups.
• Seamless MCP integration: The server exposes a standard MCP endpoint, so any LLM client that can send MCP requests will be able to trigger notifications without custom code.

Typical use cases include:

• Batch AI processing where a script runs multiple inference jobs and the developer needs to know when each job finishes.
• Interactive AI sessions in IDEs, where a developer wants an audible cue that a Copilot‑generated build or test run is complete.
• Remote collaboration setups, where a notification on the host machine signals to teammates that an AI‑driven workflow has reached a checkpoint.

By offloading the notification logic to a dedicated MCP server, developers keep their main application code clean and maintainable while still benefiting from real‑time feedback. The combination of visual and auditory alerts, coupled with the ease of MCP integration, makes this server a practical addition to any AI‑augmented development workflow.