"How to add data to Google Sheets" matching MCP servers:

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 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.

MCP server for managing Karabiner-Elements keyboard remapping rules on macOS, enabling LLMs to search key codes, list/add/edit/remove/toggle rules, and switch profiles through natural language.

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

A Model Context Protocol server that enables remote management of Android devices over WiFi, including taking screenshots, listing connected devices, and retrieving device information.

MCP server for Android device automation via ADB, enabling screen control, phone functions, app management, and device control.

A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

Node.js server implementing Model Context Protocol that enables interaction with TaskWarrior through natural language to view, filter, add, and complete tasks.

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

Enables agents to inspect Windows desktop UIs through compact UI Automation snapshots with stable element IDs and to execute batched mouse, keyboard, window, and wait/assert actions without relying on screenshot loops.

Enables MCP-capable AI assistants to control a Windows computer through GUI automation, file and process operations, PowerShell commands, durable background jobs, and binary file transfer with downloadable exports.

Enables AI coding agents to attach to a real Firefox session for DOM/CSS, console, network, JavaScript source, and breakpoint inspection, and to drive Windows desktop applications through UI Automation, screenshots, and native input. Runs entirely locally over MCP with no Firefox add-on or npm runtime dependencies.

Provides tools to parse and describe cron expressions in plain English, and compute future run times.

MCP server for Android device management via ADB, enabling inspection and configuration of Android devices over USB or Wi-Fi.

Enables DeepSeek Harness agents to inspect and control USB-connected Android devices over adb, including screenshots, UI snapshots, taps, swipes, text entry, app launching, file transfer, APK installation, and shell commands.

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

Enables Windows UI Automation screen-to-text and computer-use via MCP, allowing agents to observe, decide, and act on Windows applications through accessibility data without OCR.

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

Bridges local MCP clients to a device's HTTPS MCP endpoint, adding batched input actions, iPhone-oriented drag gestures, portrait screenshot cropping, and local macOS OCR chat reading.

Enables programmatic control of Android devices via ADB, supporting UI automation, app management, screen capture with OCR, and file transfers through the Model Context Protocol. It allows MCP-compatible clients like Claude Desktop and Cursor to interact directly with physical or emulated Android devices.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

A thin MCP adapter that connects an LLM to the ros2_medkit SOVD HTTP API, enabling discovery, data retrieval, operation execution, and configuration management for ROS 2 systems.

Enables AI agents to control Android devices via ADB, providing tools for screen capture, tap/swipe/input, app management, and diagnostics. Works locally over USB or WiFi and integrates with MCP clients like Claude and Cursor.

A Model Context Protocol server that enables AI assistants to interact with Android devices through ADB, allowing for automated device management, app installation, file transfers, and screenshot capture.

Enables Claude Code to drive macOS apps in the background through the computer-use engine bundled with the ChatGPT desktop app, sending clicks, drags, keystrokes, menu bar and notification interactions to target apps while the user's cursor, windows and other work stay untouched.