"How to create a SwiftUI app using MVVM architecture" matching MCP servers:

MCP server that lists, installs, and removes applications on Linux targets via Peckboard, supporting local and remote SSH hosts with distro package managers and pip.

Central daemon for managing local app processes, enabling multiple Claude Code sessions to coordinate starts, stops, and restarts with conflict resolution and a web dashboard.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables AI assistants to find and launch Windows applications by name using multi-strategy discovery via registry, Start Menu, PATH, and common directories.

Launch Windows applications by name, alias, or path via MCP, supporting arguments and working directories. Uses Task Scheduler to detach launched processes so they persist independently of the MCP server.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

A fast MCP server for opening, focusing, and quitting macOS apps, and opening URLs in the browser, usable by voice or from any MCP client.

A FastMCP server for managing and deploying applications on Linux systems. It provides a secure interface for running system commands, managing packages, and deploying containerized applications.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

MCP server for macOS disk cache management. Enables AI agents to free disk space on demand by scanning and clearing developer caches.

Gives AI assistants local access to a Mac's clipboard history, letting them search past clips and lists, read a clip in full (including text recognized inside screenshots), and place a clip back on the system clipboard for the user to paste. Everything runs over 127.0.0.1 with explicit user approval, and assistants cannot delete clips or see items concealed by password managers.

An MCP server that enables users to execute arbitrary shell commands on their local machine and receive the output. It provides a terminal tool for running system commands through MCP-compatible clients using the Python SDK.

Connect AI with any macOS app. Deep integration with native apps like Calendar, Mail, Notes, plus UI control for all applications. Works with Claude, Cursor, Raycast, and any MCP-compatible AI.

An integration that enables AI assistants to interact with network data through a standardized protocol, providing AI-ready tools and interfaces for network automation and management.

Enables MCP-speaking clients to control a real desktop via the computer_use tool, including clicking, typing, scrolling, dragging, key combos, app focus, and screen/accessibility capture. It also provides a verdict system that verifies whether input actions had their intended effect, with configurable approval modes.

This MCP server allows AI assistants to read, send, search, and manage emails in Apple Mail on macOS. It uses AppleScript to interact with the Mail app locally.