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

An MCP server that provides AI agents with a full Ubuntu desktop environment inside Docker, enabling them to perform complex computer tasks like browsing, coding, testing, and GUI automation.

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

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.

Enables MCP agents to automate real GUI applications on headless desktops, providing background mouse/keyboard control, window/process management, screenshots, and safe human handoff without disturbing the user's desktop.

Provides a persistent Docker computer with terminal, file editing, and optional desktop GUI control through a Three.js interface.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Cloud Linux desktops for AI agents. Create a computer, see its screen through screenshots, and drive it with click, type, drag and keys, or hand off a whole task with run_agent. Also hosted with OAuth at https://app.mandala.computer/mcp.

Enables AI coding agents to perform automated Blender UI testing, user-story validation, and computer-use workflows inside an isolated GPU-partitioned Windows 11 VM without disrupting the host desktop.

Enables AI assistants to create isolated Kubernetes Pod sessions for real-time shell command execution, file management, and Node.js code execution, with automatic TTL-based cleanup.

Enables weather lookups, mathematical calculations, and context-aware operations through a containerized MCP server with HTTP transport. Optimized for Docker/Kubernetes deployment with health checks and no external dependencies.

MCP server that wraps the vmm-api CLI to enable listing and managing VMM network topologies through natural language.

Let your AI build and run a whole app on your computer: an online shop, website, booking app or AI helper. It creates the parts, starts them, checks they work and fixes problems.

Enables AI agents to control virtual computers through Orgo, supporting computer management, screen actions, shell commands, file operations, streaming, and AI completions.

Enables AI agents to see and drive Kasm Workspaces desktops by starting and stopping sessions, taking screenshots, and performing clicks, typing, key presses, and scrolling through MCP clients or as a native Hermes Agent plugin.

Enables an assistant to control a Tandy Color Computer 3 emulated in MAME, allowing typing, disk operations, screen viewing, and state management.

Nido is a local QEMU VM manager. Install it on your computer from https://github.com/Josepavese/nido and run nido mcp via stdio, or use npx -y nido-mcp@latest mcp with QEMU installed locally. It manages VMs on that same computer; a server hosted by Glama cannot access your local VM inventory.

Enables an AI agent to lease its own Android emulator phone and drive it over stdio: reading the screen, tapping, typing, and opening apps, with every action leaving an audit line and screenshot. Leases keep one agent per phone, and a locked phone stays inert until an operator unlocks it on its own screen.

Enables MCP-capable agents to control a real QEMU virtual machine through nine computer-use tools—screenshot, click, move, type, key, scroll, status, start, and stop—without accessing the host’s pointer, clipboard, or files.

Bridges AI agents to a DOSBox emulator, enabling control of DOS programs via MCP tools for typing, screen reading, video capture, Lua scripting, and memory access.

Enables coding assistants to drive iOS Simulators and Android emulators or USB devices for React Native and Expo work, including taking screenshots, reading app and device logs, opening deep links, installing builds, and launching or relaunching apps. It also supports Android-specific actions such as adb reverse for Metro, opening the dev menu, and tapping or typing on screen.

Enables AI agents to control real cloud phones by reading screens as text, tapping, typing, installing APKs, handing off to humans, and parking devices to stop billing, without ADB or emulators.

Enables a computer-use agent to see and drive one isolated, sandboxed Linux desktop by exposing Anthropic's computer toolset actions alongside launching apps and listing windows, with screenshots scaled to a 1280-pixel longest side. It runs as a stdio MCP server scoped to a single screen and authenticated by an agent token.

Enables AI clients to control an Android emulator via MCP, allowing tasks like tapping, typing, swiping, taking screenshots, and installing apps through natural language commands.

An MCP server that controls self-hosted QEMU macOS VMs on Linux over QMP, letting agents capture screenshots and send clicks, drags, scrolls, typing, and key chords with no guest helper or Accessibility grant required.

Enables an AI assistant to drive a Color Computer 3 emulated in MAME, including entering BASIC commands, mounting disk images, capturing screen snapshots, and peeking/poking memory.

Enables AI agents to operate a real, private, local Docker-based computer with durable files, terminal access, web research, and a persistent browser or desktop. It supports multiple agent clients via MCP or OpenAPI, with live viewing and human takeover.

A Model Context Protocol (MCP) server for running Genesis World simulations with integrated visualization support, using stdio transport to enable local runtime visualization features.

Give your AI app any GitHub link and the job you want done. UGT gets the project running on your computer and hands you the result.

Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.

An MCP server that wraps the Bobbin Apple II emulator, providing tools for memory access, screen reading, BASIC program execution, and disk image management to enable autonomous experimentation with Apple II control techniques.