How does MCP Notify Server send notifications?
It uses the Apprise API for delivering desktop notifications and includes a bundled sound file for audio alerts.
@Cactusinhand
Basic information
Send system notification when Agent task is done.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server_notify": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Notify Server is an MCP (Model Context Protocol) server that sends desktop notifications with sound effects when AI agent tasks are completed. It integrates with various LLM clients and supports Windows, macOS, and Linux.
Install via pip install mcp-server-notify or uv pip install mcp-server-notify. After installation, add the server configuration to your MCP client (e.g., Claude Desktop, Cursor, or VSCode). Add a prompt such as "finally, send me a notification when task finished." to trigger the notification. For Windows, additionally install pywin32; for macOS, install terminal-notifier via Homebrew.
It uses the Apprise API for delivering desktop notifications and includes a bundled sound file for audio alerts.
Windows requires `pywin32`. macOS requires `terminal-notifier` (installable via `brew`). Linux has no additional dependencies listed.
No, Docker is not currently supported due to environment compatibility issues with host notification systems.
Add a phrase such as “finally, send me a notification when task finished.” at the end of your task input to the AI agent.
Run `python -m mcp_server_notify` with optional `--debug` or `--file` flags to verify the module works correctly.

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