Desktop Notification MCP Server

Desktop Notification MCP Server

Enables AI agents to send cross-platform desktop notifications with priority levels, categories, and configurable duration.

Category
Visit Server

README

Desktop Notification MCP Server

A Model Context Protocol (MCP) server that enables AI agents to send cross-platform desktop notifications with priority levels, categories, and duration control.

Features

  • Cross-platform support (macOS, Windows, Linux)
  • Priority levels for urgency control
  • Category-based visual distinction
  • Configurable display duration
  • Optional notification sounds
  • Success/error status reporting

Installation

npm install
npm run build

Usage

With Claude Desktop

Add to your Claude Desktop configuration file:

macOS/Linux: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "desktop-notifications": {
      "command": "node",
      "args": [
        "/absolute/path/to/desktop-notification-mcp/dist/index.js"
      ]
    }
  }
}

Parameters

Parameter Type Default Description
title string required Notification title
message string required Notification message body
sound boolean false Enable notification sound
priority string "normal" Priority level: "low", "normal", "high", "critical"
category string "task" Category: "task", "error", "success", "progress", "question", "reminder"
duration number auto Display duration in milliseconds (0 = persistent)

Priority Levels

  • low - Quick updates, 5 second timeout
  • normal - Standard notifications, 10 second timeout (default)
  • high - Important updates, 15 second timeout
  • critical - Critical alerts, persistent until dismissed

Categories

  • task - General task notifications
  • error - Error and failure notifications
  • success - Success and completion notifications
  • progress - Progress updates
  • question - Questions requiring user attention
  • reminder - Reminders and scheduled notifications

Examples

Basic Notification

{
  "title": "Task Complete",
  "message": "Your analysis has finished"
}

High Priority Error

{
  "title": "Build Failed",
  "message": "Tests failed - review errors in output",
  "priority": "high",
  "category": "error",
  "sound": true
}

Critical Alert (Persistent)

{
  "title": "User Input Required",
  "message": "Please review the following options",
  "priority": "critical",
  "category": "question",
  "sound": true
}

Progress Update

{
  "title": "Processing...",
  "message": "Step 3 of 10 complete",
  "priority": "low",
  "category": "progress",
  "duration": 3000
}

Success Notification

{
  "title": "Deployment Complete",
  "message": "Successfully deployed to production",
  "priority": "normal",
  "category": "success",
  "sound": true
}

Platform Support

The server automatically detects and uses the appropriate notification system:

  • macOS 10.8+: Notification Center
  • Windows 8+: Toast Notifications
  • Windows < 8: Taskbar Balloons
  • Linux: notify-send (requires libnotify-bin)

Platform-Specific Behavior

Linux: Priority maps to urgency parameter (low/normal/critical), duration controls timeout precisely

Windows/macOS: Priority and category shown via visual indicators, timeout behavior varies by OS version

Linux Requirements

Install notification support:

# Ubuntu/Debian
sudo apt-get install libnotify-bin

# Fedora
sudo dnf install libnotify

# Arch
sudo pacman -S libnotify

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured