"How to scrape content from a website" matching MCP servers:

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

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

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Gives an LLM agent control of the macOS desktop from a single self-contained Rust binary: Set-of-Mark numbered screenshots, Accessibility-tree clicks with browser-JS fallback for web content, Apple Vision OCR, mouse, keyboard, and clipboard.

Enables AI assistants to capture screenshots and read clipboard content from Windows applications while operating within a WSL environment. It supports monitor or window-specific targeting and features intelligent image optimization for efficient data transfer.

A simple MCP server that provides accurate date and time information to Claude models, ensuring they always use the correct current date and time when creating time-sensitive content.

A server that bridges the Model Context Protocol (MCP) to native OS functionalities, allowing AI assistants to open URLs, manage clipboard content, and retrieve date information.

An MCP server that enables AI assistants like Claude to manage Unraid servers through natural language. Install it from Community Applications and control your homelab from any MCP-compatible AI client.

Enables Claude to read and search through iMessage, SMS, and RCS conversations, including mixed-protocol group chats with Android users. It decodes binary message data from the macOS Messages database to provide a comprehensive view of message history.

Provides AI assistants access to the macOS clipboard content, supporting text, images, and binary data via OSAScript.

Enables voice-controlled local automation and laser engraving, allowing users to generate engraving previews and G-code from spoken text and send jobs to a laser engraver after confirmation.

Enables Claude Code to control a Windows desktop via screenshots, mouse, keyboard, and window/display enumeration, reusing the native binding from the Claude desktop app.

Enables MCP clients to discover desktop applications with structured metadata and receive native accessibility trees and screenshot content through Open Computer Use, preserving upstream tool results and image blocks.

Enables Claude to capture and analyze screen content across Windows, macOS, and Linux with zero native runtime dependencies.

Enables AI assistants to remotely control an Android device from a PC, using Termux API for camera, location, SMS, notifications, and shell commands over SSH or SSE.

A production-grade server for programmatically controlling kitty terminal instances, allowing users to launch windows, send text or key combinations, and capture scrollback buffer content. It facilitates automation workflows and command analysis by providing remote control over the kitty terminal through the Model Context Protocol.