Remote Control MCP (Electrobun)
Enables remote desktop control with screen capture and mouse/keyboard simulation through an MCP server exposed via a WebSocket tunnel.
README
Remote Control MCP (Electrobun)
A desktop remote-control MCP server built with Electrobun. It captures a user-selected screen and exposes mouse/keyboard control + screenshots as an MCP (Model Context Protocol) server, reachable from anywhere through a WebSocket tunnel — so external agents and tools can drive the machine.
Native input simulation currently targets Linux (via
/dev/uinput). See Setup & permissions.
Working on this codebase with an AI agent? Read AGENTS.md first — it documents the architecture and the non-obvious gotchas.
Features
- Screen capture — pick a display via the Web
getDisplayMediaAPI and take JPEG screenshots (90% quality). - Synthetic mouse — click at absolute pixel coordinates (left/right/middle).
- Synthetic keyboard — type text (with human-like timing) and press named keys with modifiers.
- Remote MCP server — 5 tools (
get_system_info,screenshot,click,type_text,press_key) exposed over a WebSocket tunnel with a stable public URL. - In-app test panel — exercise clicks/typing/keys locally before going remote.
Architecture (short version)
Electrobun runs two processes that talk over RPC:
- Bun process (
src/bun/) — OS access:/dev/uinput(FFI),xrandr, persistent storage. - Webview (
src/mainview/) — UI, screenshots, and the MCP server + WebSocket tunnel client.
Native actions are forwarded from the webview to Bun via RPC; screenshots are captured in the webview from the active screen-share stream. Full detail and the data-flow diagram live in AGENTS.md.
src/
├── bun/
│ ├── index.ts # RPC schema + handlers, window, screen-size detection, KV store
│ └── uinput.ts # FFI → /dev/uinput: VirtualMouse + VirtualKeyboard
└── mainview/
├── index.html # UI
├── index.css
├── index.ts # ScreenCaptureApp + McpPanel
└── mcp/ # tunnel client + MCP server bridge + tool definitions
Getting started
bun install
bun start # run (electrobun dev)
bun dev # run with file watching
bun run build:canary # build / verify it compiles
In the app, click Select Screen & Start Remote, choose a display, and the Remote MCP panel will show the public URL once the tunnel connects.
Setup & permissions
Input simulation creates kernel-level virtual devices through /dev/uinput, which
is root-only by default. On startup the app offers to grant access via pkexec
(graphical password prompt), running:
chmod 666 /dev/uinput
This is session-only (does not survive reboot). Manual equivalent:
sudo chmod 666 /dev/uinput
Do not run the whole app with sudo.
Remote control via MCP
The app exposes a Streamable HTTP MCP endpoint at the public tunnel URL. Tools:
| Tool | Description |
|---|---|
get_system_info |
Host details: screen size (the click coordinate space), OS/distro, kernel, arch, session (Wayland/X11), hostname, time. |
screenshot |
JPEG (90% quality) of the shared screen (requires active screen sharing). |
click |
Click at absolute pixel x,y (button: left/right/middle). |
type_text |
Type a string (US layout; non-ASCII skipped + reported). |
press_key |
Press a named key / char, optional ctrl/shift/alt/meta. |
Smoke test
smoke-mcp.sh drives a demo sequence (click → type "chrome" → down → enter):
./smoke-mcp.sh 'https://layerz.me:4433/mcp/<session>'
# or
MCP_URL='https://layerz.me:4433/mcp/<session>' ./smoke-mcp.sh
Paste the URL from the app's Remote MCP panel.
Security considerations
- Screen sharing requires explicit user consent; the tunnel only connects after consent.
- Once connected, the public URL lets remote clients control mouse/keyboard and read the screen — treat it like a remote-access credential and disconnect when not in use.
- The tunnel never autostarts; it is tied to the screen-selection action.
Notes
- US QWERTY keyboard layout assumed for synthetic typing.
- Tunnel server:
wss://layerz.me:4433/connect(already deployed; configurable intunnel.ts).
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。