"A guide to technical report writing" 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 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.

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.

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 to operate Fujitsu Technical Computing Suite (TCS/PJM) on Kyushu University's supercomputer 'Genkai' from MCP clients like Codex, supporting direct and SSH modes for job submission, monitoring, and file operations.

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

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.

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 controlling an Ubuntu desktop VM over SSH: run shell commands, open real terminal windows, drive the mouse and keyboard, manage windows, transfer files, and capture genuine screenshots of the screen or a single window. Intended for GUI-dependent work such as security experiments, vulnerability reproduction, form filling, and report illustrations.

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.

MCP server for managing local dev ports on macOS. It enables AI agents to inspect listening ports, identify owning processes and parent chains, kill processes safely, wait for ports, and report LAN exposure.

Enables Claude to open, build, edit, solve, and report on DWSIM 9.0.5 process simulations, either live in a DWSIM window or in a hidden background copy.

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 AI agents to drive an Android TV or Google TV box end to end through named tools — discover, pair, connect, check, install, provision, link, test, screenshot, report and a gated shell — with usage instructions embedded in the tool descriptions so the agent never improvises adb. Every command passes the same safety gate that refuses destructive actions.

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.