"Prime Video" matching MCP servers:

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 AI agents to see and control Android devices through ADB and scrcpy, supporting screenshots, input, app management, UI automation, shell/file access, and audio/video streaming.

Gives AI agents vision and control over Android devices through ADB and scrcpy, enabling screenshots, taps, swipes, typing, app and UI automation, file transfer, shell commands, and audio/video streaming. Works with any MCP-compatible assistant and falls back to ADB-only interaction when scrcpy is unavailable.

A download manager for humans and AI with a native MCP server: add_task, list_tasks, wait_for_task with progress notifications from any MCP host. Multi-threaded multi-mirror HTTP, BT/magnet, 1000+ video sites (yt-dlp), RSS, token-secured remote Web UI. ~8MB, open source.

Exposes the foldkit mesh SDK as MCP tools and resources, enabling natural language interaction with the 7-prime spine, κ-bands, and fold operations.

Gives AI agents vision and control over Android devices, with tools for screenshots, touch input, app and UI automation, shell access, file transfer, clipboard, and audio/video streaming.

Gives AI agents vision and control over Android devices through ADB and scrcpy, letting them capture and actually see the screen, tap, swipe, type, launch and manage apps, find UI elements, stream video and audio, transfer files, and run shell commands. Interaction uses scrcpy's fast binary control protocol for near-instant screenshots and 10-50x faster input, with an ADB fallback when no session is active.

Enables AI assistants to see and control Android devices by capturing screenshots as images, tapping, swiping, typing, launching apps, inspecting UI elements, transferring files, streaming audio/video, and running shell commands. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with ADB fallback for interaction tools.

Enables MCP-compatible AI assistants to see and control Android devices via ADB and scrcpy, exposing 44 tools for screenshots, taps, swipes, typing, UI element discovery, app management, file transfer, clipboard, shell commands, and audio/video streaming. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with an ADB fallback when no scrcpy session is active.

Enables AI agents to view and control Android devices through ADB and scrcpy, supporting screenshots, touch input, app management, UI element discovery, file transfer, shell commands, and audio/video streaming.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screenshots, taps, swipes, typing, app management, UI inspection, shell commands, file transfer, clipboard access, and video/audio streaming. It gives MCP-compatible assistants near-instant visual feedback and fast device interaction, with ADB fallback when scrcpy is unavailable.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screen capture, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.

Enables AI agents to see and control Android devices over ADB and scrcpy—taking screenshots, tapping, swiping, typing, launching apps, inspecting UI elements, transferring files, streaming video/audio, and running shell commands. It uses scrcpy's control protocol for fast input and near-instant screenshots, with ADB fallback when scrcpy is unavailable.

This server gives AI clients a persistent, isolated Linux container in which the model can run any bash command as root with internet access, install packages and start long-running processes without command filtering. Files produced inside it can be handed back to the user as signed, expiring public download links suitable for PDFs, images, audio and video.

Provides LLM clients a safe, structured interface to Intel Quartus Prime 25.1 FPGA flows, enabling linting, simulation, and asynchronous compilation with results returned as concise JSON.

Enables AI agents to see and control Android devices through ADB and scrcpy, offering fast screenshots, input, UI automation, app management, file transfer, shell commands, and audio/video streaming.

Enables MCP clients to remotely control a real retro or legacy computer, including keyboard and mouse input, video capture, audio, power cycling, and file transfer, so agents can run tests against physical hardware.