"Servers Offering MCP Prompts as Prompt Primitives" matching MCP servers:

Schedule Windows desktop reminders from Claude Desktop using PowerShell and Windows Task Scheduler. Supports one-time and recurring reminders that persist across reboots.

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

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.

Executes privileged commands with mandatory human approval via a TUI prompt, supporting local and remote execution through sudo.

Enables agents to perceive and control a Windows desktop, a connected local Chromium browser, or a cloud Playwright browser through human-like mouse moves, clicks, drags, scrolling, and screenshots, forming an observe-locate-act computer-use loop. Includes safety guards such as random pauses, emergency stop, and approval prompts for destructive actions.

Enables executing shell commands without permission prompts, including running commands and managing background processes.

Enables remote control of Android phones via Claude Desktop, offering 45+ tools including UI automation for app interactions.

A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.

Enables interaction with Foreman infrastructure management platform through MCP tools, prompts, and resources. Supports querying host information, security updates, and accessing Foreman data via natural language.

An MCP server for macOS that enables AI agents to control the desktop GUI through keyboard input, mouse actions, and screen captures. It provides stable low-level primitives for UI automation and agent-driven desktop workflows.

MCP server providing AI-friendly computer-use primitives (capture, detect, click) to let LLM agents drive desktop GUI applications on Windows, macOS, and Linux.

MCP server that allows AI coding assistants to schedule deferred tasks such as reminders, shell commands, and AI prompts, executing them as an OS daemon.

Schedule any prompt on any cron expression; when it fires, we POST the job to your callback URL. No LLM in the stack.

Enables desktop agents such as Claude Code and Codex to control an Android phone as a long-lived action endpoint, pairing over outbound WebSocket and exposing phone capabilities as MCP tools with local pause and revocation.

Enables AI agents to control a Linux optical drive tray as an emotive actuator, with tools for status, motion primitives, emotion choreographies, and diagnostics.

A lightweight Windows automation MCP server that scopes UI operations to a single target window, offering tools like ReadWindow, PeekWindow, Click, Type, Scroll, Screenshot, and App management with reduced token usage compared to full-desktop alternatives.

Enables MCP-capable AI agents such as Claude, Codex, Gemini CLI, Cursor and Zed to design and manage a Stream Deck by reading layouts, building pages and keys, setting icons and wallpapers, managing profiles and taking screenshots to verify their own work. Access is governed by read-only, edit-layout and full-control levels, with approval prompts before any tool runs something on the user's computer.

MCP server that automates Microsoft Paint on Windows, offering tools to draw freehand strokes, polylines, and logarithmic spirals through Win32 API calls.

Enables AI agents on Windows to check RAM status and trigger a memory clean by pressing the user's existing Mem Reduct hotkey, reporting available memory before and after. Runs without admin prompts or dialogs, with a cooldown to discourage routine cleaning.

Cron scheduler stdio MCP server that enables creating and managing scheduled prompt jobs with persistence and optional tick notifications.

Enables AI agents to remotely operate Windows handheld gaming PCs, providing computer use, hardware control, and voice prompt capabilities over MCP.

An MCP server that controls real Android devices via ADB, offering screen vision, input automation, and device management tools.

Enables AI models such as Claude, Gemini, Cursor, and ChatGPT to directly drive CAXA CAD for automated mechanical drafting, including GB-standard drawing frames and title blocks, geometric primitives, dimension annotations, parametric part generation, and viewport screenshots. It also manages the CAXA process and window so drawings can be opened, zoomed, and exported without manual intervention.

Enables AI agents to see and control Android devices through ADB and scrcpy, offering fast screenshots, input, UI automation, app management, file transfer, shell commands, and audio/video streaming.

Windows automation MCP offering * AI Vision (e.g. Click by Description) * Windows UI Automation Tree tools * Chrome Automation via Playwright * Mouse control * Keyboard control * a lot more (>40 tools) Also comes with Python/TypeScript/C# client libs and a Windows Desktop tool to try all the tools.

Enables MCP-compatible clients to inspect the local machine's CPU, memory, and disk information through tools, a structured resource, and an upgrade-assessment prompt.

A meta-MCP server that helps users install and configure other MCP servers directly through Claude prompts, supporting both npm and PyPi packages.

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

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.