"How to Read and Write Data with a Discord Server" 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.

An automation tool for macOS that uses AppleScript and JXA to manage Discord server setups through AI assistants. It enables the creation and configuration of servers, channels, roles, and settings using pre-built templates or custom commands.

Enables Windows desktop automation, policy-scoped filesystem access, and process control through local MCP stdio, with optional GUI, shell, scheduled-task, and reverse-engineering/Ghidra integrations under explicit permissions.

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.

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.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

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

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

Enables AI agents to inspect and operate Windows desktop applications and Chrome tabs in the background while the user retains mouse, keyboard, and window control. It provides consent prompts, hard deny lists, visible activity indicators, and an emergency stop for safer computer use.

Let an AI agent read, write and scan the memory of running processes on Windows, Linux and macOS, Cheat Engine style: value scans, refinement and pointer chains.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.

Enables interaction with long-running interactive programs such as SSH, GDB, and REPLs. Provides tools to start, monitor, control, read/write I/O for these processes.

Enables an AI agent to run local tools on the user's own machine via stdio, including command execution, workspace file read/write, and system status checks.

Enables an AI agent to safely observe and operate a Mac, starting read-only with optional read-write and admin tools for files, processes, apps, shell, AppleScript, and GUI control behind explicit permissions and human approval.

Enables AI agents to read and write Elgato Stream Deck desktop profile manifests, generate icons, wrap shell commands in script-backed keys, and restart the app so edits take effect. It runs either locally over stdio or remotely over a bearer-token-gated Streamable HTTP transport that adds a health-check tool.

Enables an agent to administer a Linux host (with first-class Arch support) over SSH through 109 typed tools covering system state, systemd, journal, packages, network, disks, hardware, boot, sessions, users and security, all returning compact JSON. Reads are the default, while mutations require write mode plus a single-use confirmation token, with optional sudo for root-level operations.

Enables MCP-capable LLM clients to perform read-only Linux system observation and OS algorithm experiments by exposing typed tools for memory, filesystem, process, and CPU scheduling data with controlled, safe boundaries.

Enables an LLM agent to search files, list directories, read and write UTF-8 text files, move or delete paths, list terminal processes, and launch a terminal in a chosen folder.

Enables AI agents to safely query and manage Windows services, processes, event logs, and system information, with write actions disabled by default.

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 local-only server that enables AI agents to create, read, search, and organize Apple Notes directly on macOS. It supports folder management, note formatting, and checklists using native automation to ensure data remains private and local.

Enables MCP clients such as Claude to read temperatures, fan speeds, power and clocks from a CoolerControl daemon, and to change fan profiles, fixed duty speeds, modes, functions, alerts and custom sensors through its REST API. Write operations are gated behind a token with write access, with an optional minimum-duty floor guarding against accidentally stopping a pump or fan.

Enables AI assistants to read and control a connected Android device over adb or a local root shell, with tools for screen inspection, tapping, typing, swiping, launching apps, and system commands.

A Model Context Protocol server that gives AI models access to your iTerm terminal session, allowing them to read output, write commands, and send control characters.

Lets AI agents control a real iPhone through an ESP32 acting as a USB keyboard and mouse: tap, type, swipe and read the screen, with no jailbreak.

Gives AI agents full read, edit, and run access to Tasker on Android, letting them list, inspect, create, and edit tasks, profiles, projects, and scenes, run tasks and ad-hoc action lists, and read or write global variables. It connects through Tasker's own HTTP Request event and XML export/import, so only a small Tasker project is needed on the phone.

Enables an MCP assistant to read, draft, sort, and rearrange iPhone or iPad Home Screen layouts from a Mac, then review differences and apply changes over USB with an additional write gate.

MCP server that gives AI assistants read-only access to TacticalRMM fleet data (agents, checks, alerts, services, processes, etc.) and, with explicit approval, lets them run commands on managed machines.

A Model Context Protocol server that enables AI clients to inspect and manage an Unraid server via its GraphQL API, with read-only defaults and optional enabled mutations.

Enables querying and managing an Unraid server through its official GraphQL API, exposing system, array, Docker, VM, share, notification, metrics, logs, and health actions via a single MCP tool. Write operations are gated by two independent locks and confirmation, with read-only behavior by default.

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.