"A guide to getting UK weather forecasts without API keys" 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 users to fetch current weather conditions for any city worldwide and display weather information as native system notifications on macOS. Provides human-readable weather data including temperature, conditions, humidity, wind speed, and atmospheric pressure.

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

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

Parse, validate, and explain cron expressions with pay-per-call via x402 (USDC on Base L2), returning next run times in any timezone.

Enables AI tools to open the macOS Maps app and search for places or addresses through a single MCP tool, without requiring a Maps API key.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Turns Mac apps into MCP servers that expose an app's actions as typed, deterministic tools, so agents can drive GUI applications through the accessibility API without screenshots or pixel coordinates. Each call replays a recorded action with no model on the serving path, making interactions fast, cheap, and repeatable.

MCP server for macOS desktop automation enabling screenshot, click, type, scroll, and more. Retina-aware, supports CJK text input and multi-monitor, works with any MCP client without API keys.

Enables agents to run GUI applications inside a visible nested Wayland display with exact screenshots and reliable keyboard and pointer control, without affecting the host desktop's focus, cursor acceleration, or window management.

A Node.js application that enables programmatic interaction with WhatsApp desktop on macOS, allowing users to send messages and check WhatsApp status through AppleScript automation without direct UI interaction.

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.

This MCP server connects AI agents to a PiKVM device, enabling full keyboard, mouse, and screen control of a physical machine without emulation.

Enables callers to route Unraid server operations through a single validated tool covering system, array, disk, Docker, VMs, notifications, keys, plugins, rclone, settings, connect, and customization actions with confirmation gating for destructive operations.

Enables AI agents such as Cursor, Claude, and Codex to read and manage a PiHerder instance through its bearer token API, including server inventory, jobs, and host files.

Enables AI agents to capture and inspect a window, send background clicks, keys, text and scrolls, and write, validate, run and monitor YAML automation scripts (or watchers) so fast reactive work is handled without the agent's thinking latency.

Enables AI agents to inspect and control Android devices through ADB, including shell commands, logcat, UI automation, app management, screenshots, and file transfer, even inside Termux/proot without a native adb binary.

Enables AI agents to operate Windows computers with parallel, human-like input streams, including held keys, concurrent mouse/keyboard actions, UIA/OCR targeting, and a knowledge base for engineering software.

Enables controlling Android emulators and devices by listing and launching AVDs, rotating screens, capturing screenshots, sending taps/swipes/keys/text, reading device state, and setting foldable postures.

Enables local macOS computer use by letting agents click, type, and inspect accessibility trees without stealing focus, through an unofficial host for OpenAI Computer Use.

Enables control of an attached Android phone over ADB, including screenshots, taps, typing, key/chord input via a virtual HID keyboard, UI inspection, and device information without root.

A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.

Enables AI agents and MCP clients to operate a real iPhone locally, completing app and device tasks without jailbreak or extra hardware.

Enables an OAuth-capable AI assistant to manage a self-hosted Linux server, starting with host-health and probe snapshots and optionally expanding to shell commands, bounded text-file reads/writes/moves, and asynchronous jobs through an owner-authenticated local broker. Configuration and credentials stay private on your own machine, with no hosted service or model API keys required.

An MCP server that gives AI agents real OS-level control of macOS, enabling them to click real buttons, type real keys, and observe rendered screens just like a human would.

A stdio MCP server that lets AI agents inspect windows, read and click on visible on-screen text, type, press keys, scroll, open apps, and run saved screen-recognition flows on a KDE Plasma Wayland desktop — either the user's own screen or an invisible second desktop. Every input is validated against what is actually on screen at that moment, with sensitive buttons and payment pages held for human approval in a panel the agent cannot reach.