"How to Enable Voice Typing on My Computer" matching MCP servers:

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.

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.

Open-source computer use MCP server for macOS and Windows, including remote Windows over SSH. Reads accessibility/UI Automation trees and uses Jev for element selection and action verification, with optional screenshot localization for icons and game scenes.

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

Enables MCP-capable AI agents to control Windows desktops through UI Automation element trees, native screenshots, app launching, batched action sequences, smart waits, and safety gates using normalized coordinates.

Enables agents to discover and operate local macOS applications through ten Computer Use tools, including reading UI state and screenshots, clicking, typing, scrolling, and dragging, while requiring explicit human approval for new app access.

Enables agents to inspect and control macOS applications through Accessibility trees, screenshots, and OCR. It supports clicks, typing, key presses, scrolling, drags, clipboard paste, window actions, and scripted actions via MCP.

Enables managing AI voice agents, phones, integrations, workflows, calls, and billing directly from chat, including editing agent settings, connecting CRMs, and reviewing call logs.

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.

Turns a single XState-compatible finite state machine config into a voice-driven MCP surface, generating one tool per event and a resource exposing the current state, context, and available actions. Lets voice assistants and other MCP clients drive stateful conversations and workflows from one source of truth, with guards enforced at call time and state prompts used as spoken replies.

Enables agents to observe and control real Windows desktop applications — locating windows and controls via UI Automation, reading on-screen text with OCR and screenshots, then clicking, typing, filling forms, launching apps, and verifying results. Mouse and keyboard actions are visible on screen and can be halted instantly with Esc.

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 AI clients to operate Windows desktops through native UIA control, OCR text targeting, screenshots, and 54 tools for window, process, input, clipboard, file, registry, and document tasks with pause, observe-only, and privacy safeguards.

Enables MCP clients on Windows 10/11 to control an interactive desktop through screenshots, mouse and keyboard actions, window management, UI Automation, clipboard access, and multi-display switching. Supports batched actions, application access controls, and visual or text-based desktop interaction.

Lets AI agents see and control desktop applications through the accessibility layer, enabling clicking, typing, scrolling, dragging, and window/app management across macOS, Windows, and Linux entirely on the local machine.

Lets an AI model see an indexed UI Automation accessibility tree of Windows desktop apps and act on it with precise clicks, typing, key chords, scrolling, dragging, and element value changes, using window captures that work even for occluded windows. Screenshot-based coordinates are rescaled and validated against the target window so input fails loudly instead of hitting the wrong app.

Enables AI agents to control Linux/X11 desktops by providing tools for taking screenshots, clicking, typing, and managing windows via AT-SPI and xdotool.

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

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

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.

Enables AI agents to observe and operate a real Windows or Linux desktop like a human — snapshotting screen geometry, active window, OCR text and normalized UI elements, then clicking, typing, scrolling and managing windows with built-in verification and recovery. Backends are chosen automatically per action (UIA/AT-SPI → OCR → vision → PyAutoGUI), so browsers, IDEs, office suites and canvas apps are all controllable without any browser-automation MCP.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.