"Help with Writing Articles" matching MCP servers:

Enables reading, writing, and manipulation of Bike outlines on macOS through natural language, using AppleScript for local document management.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

Provides tools for reading and writing system clipboard data across Linux, macOS, Windows, and WSL platforms.

Enables LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.

Enables AI assistants to identify processes listening on specific network ports by returning process names and PIDs. It provides infrastructure introspection capabilities through the Linux ss command to help users monitor and debug local services.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

MCP server that enables reading and writing macOS system preferences and application settings through the defaults system.

Enables attaching to a running VOCALOID 6 process to expose MCP tools for modules, windows, memory scanning, reading, writing, and pointer-chain resolution, with status and capability reporting. Note-level reading or editing is not yet available because no stable note map exists.

Enables Claude Code to drive Cheat Engine on Windows through a local named pipe for attaching to processes, scanning/reading/writing memory, pointer scanning, watchpoints, code patching, Mono/IL2CPP inspection, and screenshots, with safety gates for risky actions.

Enables AI assistants to interact with SIEMENS WinCC Unified SCADA systems through their GraphQL API, supporting operations like reading/writing tag values, browsing objects, querying historical data, and managing alarms.

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.

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

Enables AI to directly control Cheat Engine for process attachment, memory scanning, reading/writing, address list management, speed hack, Lua/Auto Assembler execution, and CT file management via the MCP protocol.

Enables AI assistants to control native Linux desktop applications by exposing the AT-SPI2 accessibility tree with semantic element references, so they can snapshot, search, click, type, and send keyboard shortcuts across GTK, Qt, and Electron apps. It also adds system-level tools for running shell commands, reading and writing the clipboard, launching installed applications, and sending desktop notifications.

MCP server for Cheat Engine 7.6 that enables AI agents to perform memory scanning, reading/writing, process manipulation, debugging, and code injection via a Lua named pipe bridge.

MCP server for live process memory introspection and debugging on Linux x86_64. Enables reading/writing process memory, searching patterns, ptrace attach/registers, running commands, and valgrind execution.

Enables ChatGPT conversations to drive a paired Windows PC by reading and writing files, running interactive terminals, automating desktop UI, and composing or editing DOCX documents in WordCraft, all through 42 MCP tools. Access is secured with OAuth, device pairing, approved folders, and locally managed permissions for sensitive actions.

Enables MCP clients such as ChatGPT and Claude chats to control a Windows desktop by taking screenshots, moving the mouse, typing text and key chords, focusing windows, reading or writing the clipboard, and launching applications. Access is gated by local approval modes, input kill switches, and an optional authenticated relay for remote clients.

Enables an AI assistant to see and control your local desktop on Windows and Linux by capturing screenshots, clicking, scrolling, pressing hotkeys, typing text, and reading or writing the clipboard. Actions can be batched into a single call that ends with a fresh screenshot.

Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.

Enables MCP clients such as ChatGPT and Claude to administer Linux or macOS hosts through authenticated Streamable HTTP, including running shell commands, reading and writing files within a workspace, listing directories, and retrieving system metrics.

Enables an AI client to drive a Raspberry Pi — running shell commands, reading and writing files, and installing packages — by relaying encrypted jobs through the PNA Vercel API, which only ever stores opaque blobs. Each call takes the Pi's api_key and session_key, encrypts locally, long-polls for the Pi's decrypted response, and returns the result, with no secrets logged.

Cross-platform remote debugging agent with MCP support for launching processes, screenshotting, hooking APIs/addresses, and reading/writing memory via Frida.

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

Enables ChatGPT to run a durable, sandboxed Windows workspace from a local MCP endpoint: spawning bounded commands, reading, writing, patching and undoing files with receipts, storing large output as artifacts, scheduling and waiting on durable jobs and closed typed scatter flows with per-conversation mailboxes, and driving desktop UI Automation. It also supports recipes, checkpoints, append-only event logs, and continuations, all backed by a single local SQLite database with strict schemas and localhost-only binding.

Enables reading and writing macOS system defaults and settings through commands equivalent to the defaults command-line tool. Supports listing domains, searching for settings, and modifying system preferences programmatically.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

Executes privileged commands with mandatory human approval via a TUI prompt, supporting local and remote execution through sudo.

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

A TypeScript-based server that enables programmatic management of pseudo-terminal sessions. It allows users to spawn, control, and interact with terminal processes in real-time through the Model Context Protocol.