"LinkedIn professional networking platform" matching MCP servers:

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables AI agents to manage processes via structured MCP tools, reducing token usage by 75-80% compared to shell commands.

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

Sends periodic system notifications to remind users to take breaks and move around, with customizable intervals, messages, and cross-platform notification support.

Enables AI agents to automate GUI interactions across Windows, Linux, macOS, Android, iOS, and browsers using structured platform APIs first, with vision grounding as a fallback for robust cross-platform computer use.

Enables AI agents to send cross-platform desktop notifications with priority levels, categories, and configurable duration.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

Enables AI coding agents like Claude to read Windows clipboard contents (text and images) from within WSL environments, providing seamless cross-platform clipboard access through the Model Context Protocol.

A high-performance, cross-platform MCP server for split-screen window management on Windows and macOS, providing 16 window manipulation tools.

Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

A cross-platform MCP server for capturing screenshots of monitors and windows, as well as listing and closing windows.

Cross-platform system automation tool enabling AI to control mouse, keyboard, screen, windows, and query system info via MCP.

Enables an AI agent to drive a remote Linux machine over the LAN through a single TCP connection, exposing tools for shell commands, jobs, interactive PTYs, file read/write/search/transfer, process and service management, networking, packages, and power control, with optional multi-host switching. Operates without SSH or any Linux-side installation beyond one stdlib-only Python daemon, using a state-free binary protocol.

Secure network administration MCP server that enables AI assistants to safely execute networking commands like SSH, ping, and DNS lookups inside a Docker container sandbox.

Enables MCP clients to inspect and operate desktop application UI elements through platform accessibility APIs and simulated input, without relying on screenshots, across KDE Plasma Wayland, Hyprland, and Windows under a per-app allowlist.

Enables AI clients to administer a Linux host through OAuth-secured, scope-controlled tools for diagnostics, filesystem and systemd operations, command execution, guarded networking, and managed project deployment with local owner approval.

MCP server that wraps the MSPbots Fleet Platform API, enabling host inventory management, on-demand script execution, and saved osquery queries over the Model Context Protocol.

A stdio MCP server exposing 43 tools that let AI agents diagnose and monitor a Mac's networking: which apps use bandwidth, Wi-Fi signal and channels, latency and packet loss, DNS and speed tests, why a host or API won't connect, whether traffic leaves via VPN, hotspot data budgets, and keeping the machine awake during long jobs. Read-only tools run without confirmation, while tools that change system settings prompt the agent to ask the user first.

MCP server for Kaseya VSA — endpoints, patches, procedures, alarms, and tickets. Enables AI assistants to manage and monitor devices via the Kaseya VSA RMM platform.