"Desktop software without licensing requirements" matching MCP servers:

A deliberately vulnerable MCP server for local authority licensing, designed to demonstrate and fix native MCP weaknesses such as SQL injection and tool poisoning.

Enables management of software requirements in compliance with IEC 62304 Class C medical device standards, including requirement creation, versioning, traceability matrix generation, and risk control integration.

Enables converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

A Windows-local MCP server that connects natural-language engineering tasks to COMSOL, Autodesk Fusion, and LabVIEW through their official software interfaces. It lets users submit, track, and verify parametric simulation, CAD modeling, and measurement jobs as configurable tools.

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

Enables LLMs to capture desktop screenshots and control the mouse and keyboard on Linux, including Wayland, through MCP.

Enables AI agents to control a Linux desktop and browser through governed tools for mouse, keyboard, windows, clipboard, screenshots, navigation, and page interaction, with policy verdicts, human confirmation, secret redaction, and an append-only audit trail.

MCP server that fixes Windows DPI coordinate scaling for AI desktop automation. Provides UI element finding via Windows Accessibility APIs and coordinate conversion between physical and logical coordinate systems.

Turns Cursor into a full software factory with 10 specialist agents (PM, Architect, Backend, Frontend, etc.) as a local MCP server, keeping code on your machine.

Enables AI agents to observe and operate real desktops, mobile devices, and browser pages through screenshots, native accessibility trees, and web automation, including clicking, typing, hotkeys, and UI lookup across macOS, Linux, Windows, Android, and iOS.

Enables AI agents to capture multi-monitor screenshots with coordinate grids and perform mouse, keyboard, scrolling, dragging, and window-management actions on Windows via MCP tools or CLI. It provides pixel-accurate desktop automation for computer-use agents.

A self-hosted MCP gateway that gives an AI client control of a real headed Chromium desktop and persistent workspace, with file, shell, process, and code-editing tools routed through a single control lease. Includes server-side read-only observation, server-enforced human takeover, and pause/stop controls so a person can watch, intervene, and hand control back.

Windows desktop-control MCP server: screenshot, window mgmt, mouse/keyboard input, recording.

Turns your running Outlook Desktop into an MCP server, enabling email, calendar, tasks, and attachment management through your existing Outlook session without any cloud APIs.

Enables supervised, visible control of a Windows desktop from an MCP client, providing real mouse and keyboard input, screenshots, local safety controls, and a teaching mode for guidance without injection.

MCP server for organizing files on your Mac Desktop by automatically categorizing them into folders. Supports listing, previewing, and moving files into category folders (Images, Documents, Videos, etc.).

Provides software development planning tools to help users create implementation plans and manage todo items.

Enables AI assistants to capture and analyze screen content across multi-monitor setups with smart image optimization. Provides screenshot capabilities and detailed monitor information for visual debugging, UI analysis, and desktop assistance.

Enables AI agents to safely inspect, edit, and test code within a bounded repository environment to solve software engineering tasks and verify fixes.

Enables automation of LINE messaging through the Chrome extension, allowing users to check status, list chat rooms, read messages, search conversations, and manage login sessions via MCP tools.

Enables AI assistants to read and send WhatsApp messages on Windows through the official WhatsApp Desktop application using Edge WebView2 CDP automation.

Enables multiple local AI desktop applications to exchange MCP messages and collaborate through a shared JSONL room file, with role-based routing, history, and audit session tools.

Enables MCP clients to capture screenshots and control a Raspberry Pi's Wayland desktop over an existing SSH connection with mouse, drag, scroll, keyboard, and Unicode typing actions. Input tools return fresh screenshots, enforce single-client sessions with idle release, and reject stale or uncertain state until verified.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables an AI assistant to analyze live Power BI Desktop models and files, and to safely apply approved, reversible edits to copies of Power BI files one change at a time.

Enables provider-neutral automation of dedicated Linux desktop applications across private X11, KWin/Wayland, headless Chromium, and explicitly enrolled Sway sessions through MCP. It supports input, screenshots, window targeting, cancellation, timeouts, and crash recovery while reporting each backend's limits.

Enables MCP clients such as Claude Desktop to read and, after per-transaction confirmation, write accounting data—invoices, customers, items, payments, deposits, checks/bank charges, and journal entries—with two-step confirmation and revert of its own runs.

A fake MCP server with 108 themed tools for testing Claude Desktop's handling of large toolsets and Amazon Bedrock AgentCore Gateway integration.

Enables AI assistants to generate and manipulate Office and PDF documents, inspect desktop windows and screenshots with OCR, and perform sandboxed file and system utility operations on Windows.

Enables developers to generate structured software documentation including user stories, requirements, technical specifications, and more using AI-powered prompts via the MCP protocol.

A tool for SHACL-based assessment, comparison, and coverage analysis of digital passport data models, designed for AI-agent orchestration.

A desktop MCP service that integrates voice assistants into Mac workflows, enabling Obsidian memory, app control, Claude Code sessions, pending actions, and multi-language HTTP access.

Controls the TradingView Desktop app via MCP, allowing AI agents to manage charts, indicators, Pine Script strategies, and optionally mirrors signals to MetaTrader 5 for automated trading.

Enables AI agents to control Linux desktops and compositors, including Hyprland/Wayland window management, PipeWire audio routing, systemd diagnostics and self-healing, notifications, screenshots, and optional agent memory.

Enables searching text across configured local workspaces using ripgrep. Provides secure text search capabilities within defined workspace boundaries through both MCP server and CLI interfaces.

Enables guarded, local-first perception and interaction with Windows desktops through UI Automation, screenshots, and bounded mouse/keyboard actions with deterministic verification. It prioritizes semantic/read-only inspection and excludes arbitrary shell execution or destructive system operations.

Enables Claude Code to read and search the user's own LINE chats and draft replies through official PC and Chrome clients, with guarded sending only after explicit confirmation. It also supports allowlisted one-time-token sends, an append-only ledger, and a STOP-file emergency halt.

Controls the official NetEase Cloud Music desktop client on Windows, enabling AI to search, play, manage queues, and adjust playback settings via a local control channel.

Enables secure, deny-by-default automation of Windows windows with per-action permissions, allowing observation, clicking, typing, and dragging on approved applications while verifying target identity and focus at runtime.

Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.