"Finding People on LinkedIn" matching MCP servers:

MCP server for Oracle Linux OS operations, providing tools for package management, kernel, storage, network, and security tasks via dbxcli.

Enables coding assistants to drive iOS Simulators and Android emulators or USB devices for React Native and Expo work, including taking screenshots, reading app and device logs, opening deep links, installing builds, and launching or relaunching apps. It also supports Android-specific actions such as adb reverse for Metro, opening the dev menu, and tapping or typing on screen.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

An MCP server that gives AI coding agents structured port intelligence — finding free ports, identifying port hogs, and killing zombie processes without leaving the chat.

Enables MCP clients to inspect and operate native macOS apps through the Accessibility tree with safety-gated semantic actions, stale-state rejection, and outcome verification. Supports tools for app state reading, element finding, clicking, typing, form filling, window capture, and guarded workflows like menu selection and Save As.

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.

MCP server that fixes Windows DPI coordinate scaling for AI desktop automation. Provides UI element finding via Windows Accessibility APIs and coordinate conversion between physical and logical coordinate systems.

Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.

MCP server for capturing screenshots of desktop windows on Windows. Allows AI assistants to see what's on screen for UI development, debugging, and iterating on designs.

Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.

Enables GUI automation by executing Python code with instrumented pyautogui, providing MCP-friendly output and inline screenshot delivery.

Enables AI assistants to check disk usage on the host machine, providing real-time reports on partition health, warnings, and critical alerts across Windows, macOS, and Linux.

Enables secure SSH-based operations on Oracle Linux 8+ hosts through a curated, YAML-defined capability catalog, with typed parameters, two-phase confirmations for mutations, and full audit logging.

Enables MCP clients to read any Windows window as text with coordinates, including control names, roles, clickability, and all on-screen text positions, so even models without vision can understand and act on the desktop. It is read-only, listing windows, finding elements by name, and waiting for text to appear, without clicking, typing, or stealing focus.

A local MCP server for Windows that gives Claude control of your screen, enabling screen viewing, image-based element finding, clicking/typing, macro recording and replaying, and scheduled automation with failsafe safety features.

Enables AI assistants to interact with VMware Workspace ONE UEM environments for device management, user administration, and system operations. Provides access to 25+ commonly used UEM APIs with support for OAuth2 authentication and bulk operations.

Enables AI agents to read a Windows remote-desktop or VDI window as text via local OCR, with tools for reading, finding, waiting for text, and optional screenshots.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

Enables AI clients to query and manage Aagon ACMP data in natural language through the Public API, covering clients, containers, jobs, tickets, assets, inventory and vulnerabilities. Read actions run immediately, while write, execute and delete actions require one or two people to approve them on a web page before they reach ACMP.

A secure MCP server that gives ChatGPT access to local terminal, files, and background processes, and lets it discover, manage, and call any registered MCP server on the machine.

Enables AI coding agents to automate Windows desktop applications through semantic UI Automation instead of brittle coordinate clicks, with tools for discovering windows, finding controls by stable identifiers, and verifying actions.

A comprehensive MCP server for Linux automation operations management, providing 88 tools across 8 categories for file, system, process, network, compression, and package management via SSH connections.

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Automatic operation of on-screen GUI.

control mouse on your local computer

Enables AI agents to see, click, type, and drive a Wayland Linux desktop through mouse, keyboard, screenshots, OCR, icon finding, window management, and accessibility-tree inspection.

On-server agent for managing PostgreSQL, Redis, Keycloak, and NGINX on Ubuntu infrastructure with real-time monitoring, automated maintenance, and distributed command execution.

Controls a Linux host through structured interfaces like systemd, journald, and D-Bus for service management, journal queries, power operations, and more, with safety guards to prevent accidental damage.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.