Get Installed Apps MCP Server
A Model Context Protocol (MCP) server that provides information about installed applications on your computer, support MacOS and Windows.
Project Introduction
Get Installed Apps MCP Server is a simple MCP implementation that allows AI assistants to discover which applications are installed on your computer. This server implements the Model Context Protocol (MCP) specification, enabling seamless integration with compatible AI clients.
Features
- Returns a comprehensive list of installed applications on your computer
- Simple integration with any MCP-compatible AI client
- Lightweight implementation with minimal dependencies
Project Structure
mcp-get-installed-apps
├── src
│ ├── index.ts # Application entry point
├── tsconfig.json # TypeScript configuration file
├── package.json # npm configuration file
└── README.md # Project documentation
Installation
git clone https://github.com/Xutaotaotao/mcp-get-installed-apps.git
cd git-mcp-server
npm install
npm run build
MCP Configuration
After installation, you can configure Get Installed Apps MCP in your MCP JSON configuration:
{
"mcpServers": {
"get-installed-apps": {
"command": "node",
"args": [
"mcp-get-installed-apps/build/index.js"
]
}
}
}
Configure the MCP JSON in the AI Client
- Claude Client: https://modelcontextprotocol.io/quickstart/user
- Raycast: requires installing the MCP plugin
- Cursor: https://docs.cursor.com/context/model-context-protocol#configuring-mcp-servers
MCP Tool Description
Get Installed Apps MCP Server provides the following tool, which can be called through the MCP protocol:
Get Installed Apps (get-installed-apps)
Returns a list of all installed applications on your computer.
Parameters:
- None
Returns:
- Success: Text content containing JSON data of all installed applications
- Failure: Text content containing error information
Recommend MCP Servers 💡
kanban-mcp
MCP server providing kanban-based task management state for AI-driven development
mcp-server-microsoft365-filesearch
An MCP server providing advanced file search capabilities within Microsoft 365 (SharePoint & OneDrive)
Agentic_Longterm_Memory
Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, and procedural memory systems.
citystack-kumbh
A Python-based MCP tool that helps users find civic services like hospitals in Nashik using real-time data, designed for events like Kumbh Mela 2027.
mcp-server-gsc
MCP server providing access to Google Search Console analytics data
pearl-mcp-server
A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface.