"Information about CAD (Computer-Aided Design or other meanings)" matching MCP servers:

MCP server for Autodesk Inventor that provides 32 tools for parametric control of CAD models via COM automation.

Enables controlling CAD software (AutoCAD, GstarCAD, ZWCAD) through natural language instructions, allowing users to create and modify drawings without manually operating the CAD interface.

Enables users to control CAD software like AutoCAD, GstarCAD, and ZWCAD through natural language instructions via the Model Context Protocol. It supports automated drawing of shapes, layer management, and saving designs to DWG files without manual interface interaction.

Enables traceable warehouse CAD round trips and bounded Agent-to-AutoCAD MCP tools for auditing, editing, and rebuilding CAD models.

Enables agent-driven CAD automation by inspecting, editing, and validating DWG drawings through a handle-first workflow, with support for visual grounding, CADPlan execution, and local SQLite workspace management.

Enables an agent to observe and operate desktop apps and browsers through an accessibility-tree-first view, with clicking, typing, scrolling, dragging and waiting tools. Screenshot handling, coordinate mapping and fail-closed safety rules (risk confirmation, deny-listed apps, stale-observation refusal) are enforced inside the server.

MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.

Enables MCP clients to create and edit technical drawings, manage layers and geometry, process GIS/research mapping data, generate previews and layouts, and automate AutoCAD documents on Windows through COM.

Enables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.

Enables a constrained subagent to perform foreground GUI actions on Hyprland—observing, focusing windows, clicking, typing, scrolling, dragging, and managing the clipboard—under per-action approval with lease, audit log, and kill-switch gating.

MCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.

Enables AI agents to observe and control the user's live desktop by listing apps, reading accessibility trees, and performing clicks, typing, scrolling, dragging, and other input actions with per-action approvals and local audit archives.

An MCP server for computer automation that provides tools for screenshots, mouse actions, keyboard input, and drag-and-drop functionality. It supports cross-platform desktop interaction for both Linux (X11) and Windows environments.

Enables driving macOS apps from Claude Code — screenshots, accessibility trees, clicks, typing and keys — by borrowing the Computer Use eyes and hands from OpenAI's ChatGPT/Codex desktop app, with persistent JavaScript scripting, text-targeted batching, diff output and macros that collapse many actions into one call without consuming Codex quota or calling a model.

Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.

MCP server providing 200x faster macOS computer use via Accessibility API, enabling direct UI automation (click, type, scroll) with ~1s workflows.

Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.

Provides safe Linux desktop automation for Codex through focused MCP tools for inspecting, clicking, typing, dragging, and verifying native applications on Wayland and X11.

Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

Enables users to drive a selected Windows application toward a natural-language goal by reading the UI with local OCR/UIA and deciding next actions.