"A guide to creating software project documentation" matching MCP servers:

Enables AI agents to inspect and manage Windows software, including listing installed and running apps, searching catalogs, installing, upgrading, uninstalling, managing startup apps, exporting backups, and checking exploited vulnerabilities. It also supports a read-only mode for safe discovery.

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

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.

MCP server that enables AI models to open the Windows Notepad application via function calling, demonstrating the complete MCP tool call workflow.

Enables AI agents to automate local software management workflows including installation, uninstallation, updates, and environment recommendations. It provides a standardized, non-interactive interface for managing system applications and tracking software versions safely.

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.

Enables building, starting, stopping, restarting, inspecting, and monitoring registered Spring Boot + Maven projects on macOS, including status checks and log tailing through MCP tools.

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.

MCP server for pre-print QA of Bambu Studio projects, providing tools to inspect models and 3MF files, validate risky settings, create support variants, and open files in Bambu Studio.

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

Enables Claude to execute predefined MacOS Shortcuts for extracting recipe ingredients, adding them to a Groceries list in Reminders, summarizing chat conversations into notes, and creating calendar events.

Bridges LLMs with Uyuni infrastructure management, enabling natural language system administration such as inspecting systems, managing updates, and scheduling actions.

Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.

A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.

Enables AI assistants to manage local tmux sessions, including creating and controlling sessions, windows, and panes, sending commands, and capturing terminal output.

Enables MCP-compatible clients to manage cron-job.org cron jobs and folders via natural language, including creating, inspecting, updating, and deleting jobs, and reading execution history.

A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

A Model Context Protocol (MCP) server that empowers LLMs to schedule persistent background jobs on servers/NAS, recursively crawl web documentation into an offline SQLite RAG knowledge base, and dispatch smartphone push notifications with interactive approvals.

A simple MCP server that provides accurate date and time information to Claude models, ensuring they always use the correct current date and time when creating time-sensitive content.

Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

Enables local project file access, editing, command execution, recoverable long-running jobs, Apple MPS checks, and macOS UI automation through MCP.

Enables AI assistants to remotely control multiple computers via MCP: run commands, manage files, install software, view and control screens, and execute parallel tasks across machines.

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 Windows program management through MCP, including listing installed programs, uninstalling software, force removal, and cleaning residual files. Supports generating detailed Markdown reports of system programs with smart categorization and statistics.

Enables ChatGPT to securely control a local workstation via an MCP tunnel, exposing 44 tools for file/project editing, git, process supervision, browser automation, and Office document handling across macOS, Linux, and Windows.

Enables Claude Desktop to work with a local Windows 10/11 machine through scoped project file editing, read-only PowerShell/CMD diagnostic tasks, desktop observation, and locally approved mouse/keyboard interaction with allowlisted applications.

A local Windows automation MCP server that lets a KI-Agent safely control the SteuerSparErklärung tax software: inventory and open tax cases, read pages, compare receipts and values, and edit verified working copies, with all ELSTER transmission paths locked tight.

Lets an AI client read and reorganize a connected iPhone's home screen — moving apps and web clips, creating folders, and rearranging pages — with automatic backups, previews, and validation before any change is written to the device.

Enables ChatGPT to securely access project files and directories, read and write text files, and run allowlisted PowerShell commands on a Windows machine through an OpenAI Secure MCP Tunnel.

Gives a coding agent its own Docker-hosted Linux desktop with XFCE, Chromium, Blender, LibreOffice, GIMP and a sudo shell, exposing tools for screenshots, mouse and keyboard input, window focus, shell commands, file read/write, opening URLs or GUI apps, and headless Blender renders. The agent can watch and drive that desktop live from a browser while working on the shared project folder.

A Windows MCP server that gives ChatGPT permission-controlled tools for troubleshooting software, working with files, running diagnostics, and operating the visible desktop.

Enables read-only MCP access to Tactical RMM, allowing agents to query devices, clients, sites, audit logs, software, and pending actions without any mutating capabilities.

Enables AI agents to read tenants, computers, inventory, deployments, compliance, maintenance sessions, scripts and software catalogs from an ImmyBot instance, and, with explicit confirmation, start maintenance, install software, run deployments or run scripts on machines. Credentials are supplied per request via headers and never stored, so one stateless deployment can serve multiple instances.

Enables AI clients to administer a Linux host through OAuth-secured, scope-controlled tools for diagnostics, filesystem and systemd operations, command execution, guarded networking, and managed project deployment with local owner approval.

Enables AI to control Final Cut Pro on macOS via CLI or MCP, allowing automation of tasks like library/project reading, importing FCPXML, and creating title/storyboard projects.

Enables AI agents to read managed endpoints, their software and hardware audit, patch status, agent procedures, alarms, tickets, organizations and machine groups, and, with explicit confirmation, deploy patches or run an agent procedure on an endpoint. Supports stateless multi-tenant access with per-request credentials for the VSA REST API.