"A guide to software planning and development strategies" matching MCP servers:

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

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

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.

Enables AI agents to automate local software management workflows including installation, uninstallation, updates, and environment recommendations. It provides a standardized, non-interactive interface for managing system applications and tracking software versions safely.

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.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

Enables AI agents to fully control Android devices through over 30 tools for app management, UI automation, and vision-based analysis via ADB. It supports multi-device management, action recording, and smart execution strategies ranging from UI hierarchy parsing to coordinate-based interaction.

An MCP server designed for Android development, enabling AI assistants to directly control Android devices for screenshots, UI analysis, app management, and more.

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

Enables AI development tools on Windows to send native system notifications for task completion, errors, and reminders, with customizable icons and sounds.

An MCP server for secure process management, allowing LLMs to start, monitor, and manage whitelisted processes like development servers and test watchers.

A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.

Enables AI assistants to remotely control multiple computers via MCP: run commands, manage files, install software, view and control screens, and execute parallel tasks across machines.

Enables AI agents to operate Windows computers with parallel, human-like input streams, including held keys, concurrent mouse/keyboard actions, UIA/OCR targeting, and a knowledge base for engineering software.