"sage active" matching MCP servers:

Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.

Enables secure SSH connections to remote servers for executing shell commands and managing active sessions. It supports authentication via passwords or private keys and provides optional host-based access control.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling them to capture screenshots, tap, swipe, type, launch and manage apps, inspect UI elements, stream audio and video, transfer files, and run shell commands. Input and screenshots run over a fast binary control protocol when a session is active, with ADB fallback so interaction keeps working without scrcpy.

Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.

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

A Windows-local MCP server for capturing screenshots (full screen, displays, regions, active window) and managing capture images via deletion tools, using a .NET tool interface.

A production-ready MCP server that enables AI assistants to manage enterprise Active Directory environments through 45 specialized tools for users, groups, and GPOs. Its multi-client architecture allows for the secure management of multiple AD domains from a single codebase using natural language commands.

A cross-platform MCP server that allows AI agents to capture screenshots of specific windows, displays, or regions for native application testing. It provides tools to list active windows and monitors, enabling precise visual verification and interaction during automated workflows.

Enables Active Directory enumeration and abuse operations through the bloodyAD tool. Supports LDAP queries, user/group management, DNS operations, and security testing directly from AI assistants.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling screenshots, taps, swipes, typing, app launching, UI element inspection, file transfer, and shell commands. Input and screen capture stay fast via scrcpy's binary control protocol, with an ADB fallback when no session is active.

Manages background process sessions via the OpenClaw process tool, allowing users to list, monitor, and control active sessions. It supports retrieving process logs and sending keystrokes or text to running background tasks.

Enables AI agents to observe and operate a real Windows or Linux desktop like a human — snapshotting screen geometry, active window, OCR text and normalized UI elements, then clicking, typing, scrolling and managing windows with built-in verification and recovery. Backends are chosen automatically per action (UIA/AT-SPI → OCR → vision → PyAutoGUI), so browsers, IDEs, office suites and canvas apps are all controllable without any browser-automation MCP.

A local MCP server for the Windows version of Sky: Children of the Light that enables AI clients to read validated game windows, perform local OCR, and send limited game keystrokes or chat text when explicitly permitted.

Enables AI agents to browse N-able N-central RMM data such as org unit hierarchies, devices, assets, lifecycle and service status, active issues, scheduled tasks, custom properties, maintenance windows and access groups. On explicit request it also performs writes — running scripts or automation policies on a device, changing custom properties or lifecycle data, adding or deleting maintenance windows, and creating device or org unit access groups.

Gives AI agents vision and control over Android devices through ADB and scrcpy, letting them capture and actually see the screen, tap, swipe, type, launch and manage apps, find UI elements, stream video and audio, transfer files, and run shell commands. Interaction uses scrcpy's fast binary control protocol for near-instant screenshots and 10-50x faster input, with an ADB fallback when no session is active.

Enables MCP-compatible AI assistants to see and control Android devices via ADB and scrcpy, exposing 44 tools for screenshots, taps, swipes, typing, UI element discovery, app management, file transfer, clipboard, shell commands, and audio/video streaming. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with an ADB fallback when no scrcpy session is active.

Connects MCP-compatible AI assistants to Android devices, letting them see the screen and act on it through screenshots, taps, swipes, typing, app and UI management, shell commands, file transfer, and clipboard access. It routes interaction through scrcpy's control protocol for fast input and near-instant screen captures, falling back to ADB when no session is active, and adds audio/video streaming and recording.