Glovebox Mcp

glovebox-mcp

A sandboxed computer-use MCP server — let an AI agent drive a real browser and desktop apps (mouse, keyboard, screenshots, clipboard, vision grounding), confined to a nested X11 window so its input and vision never touch your real screen or the windows of your other apps.

Like a lab glovebox: the agent reaches in and manipulates real applications, sealed off from your desktop. Bring the sandbox up, log into whatever sites or apps you want to automate inside that window, and the agent operates only there — you can watch it live and close it instantly.

Speaks the Model Context Protocol, so it works with MCP clients like Claude Code. Your host can run Wayland; the sandbox gives the agent a real X server to drive.

[glovebox-mcp — an agent filling a sign-up form inside the sandbox]

_{An agent driving a real browser in the sandbox — gliding the cursor, inserting a unicode name (Nadja Kovačič), typing, and submitting. All confined to a nested X11 window.}

Why a nested X11 sandbox?

• Most desktop automation (xdotool, PyAutoGUI) is X11-only, but many modern desktops run Wayland.
• Xephyr provides a real X server inside a single window (DISPLAY :1). Everything the agent does — clicks, typing, screenshots — is confined to that window, not your real desktop.
• You stay in control: watch it live, pkill Xephyr to close everything.

The isolation is display-level (see Safety): the apps themselves run as your user with your filesystem. For OS-level isolation run glovebox inside a VM or container.

Requirements

• Linux — the sandbox nests a real X server (Xephyr), so it works even on Wayland hosts (via Xwayland). Not macOS/Windows. Developed on Ubuntu; any modern Linux with the packages below.
• Python 3.10+ and uv (used for the virtualenv).
• System packages — xserver-xephyr (Xephyr), openbox, scrot, x11-utils, xdotool, wmctrl, xclip (+ tesseract-ocr for basic). On Debian/Ubuntu the installer auto-installs them via apt (sudo); on Fedora/Arch it prints the matching dnf/pacman command. The MCP server itself is distro-agnostic — any Linux with these tools works. openbox is not optional in practice: without a window manager Xephyr ignores synthetic pointer motion, so clicks would land in the screen center (launch_app warns when it is missing).
• A browser in the sandbox (Chromium, Chrome, Brave, Edge, Vivaldi or Opera).
• NVIDIA GPU (≥6 GB VRAM) — only for the local vision mode. The server checks this itself (status() → vision.gpu) and auto falls back to basic/none when it is not met.

Install

Pick a vision backend and run its one-liner (clone → install). Each one installs the system packages (auto via apt on Debian/Ubuntu) and the Python deps for that mode, and writes a ready-to-paste mcp-config.json with your paths.

none — no local models; your agent reads screenshots itself (lightest, instant):

git clone https://github.com/segentic-lab/glovebox-mcp && cd glovebox-mcp && ./install.sh none

basic — Tesseract OCR grounding (parse_screen → text lines + coordinates, CPU-only):

git clone https://github.com/segentic-lab/glovebox-mcp && cd glovebox-mcp && ./install.sh basic

local — OmniParser on an NVIDIA GPU (parse_screen → text + icons, pixel-precise; ~4 GB weights, ≥6 GB VRAM):

git clone https://github.com/segentic-lab/glovebox-mcp && cd glovebox-mcp && ./install.sh local

Your choice is written to .vision-mode (override per run with the GLOVEBOX_VISION env var). Without either, the server runs in auto and picks the best backend that is actually usable. python vision.py check prints the same diagnosis status() returns (GPU, weights, tesseract).

Works with any MCP client / harness

Claude Code, Cursor, Codex, or your own agent — it's a standard MCP server, not tied to any one host. Two compatibility notes: basic/local return element coordinates as text, so they work even with text-only agents; none relies on the client passing the tool's screenshots to a multimodal model (fine for Claude Code, Cursor, and other image-capable MCP clients). In any mode, clipboard() gets exact text out of an app without vision at all.

Quickstart

1. Start the sandbox (leave it running):
   bash

   ./start-display.sh              # 1440×900 Xephyr window with a browser./start-display.sh 1920x1080    # …or pass a screen size (or set $RES)

   Log into any sites or apps you want to automate in that window.
2. Register the server with your MCP client. install.sh already wrote mcp-config.json with your real install path — copy its glovebox block into your client's MCP config:
   jsonc

   { "mcpServers": { "glovebox": {    "command": "/abs/path/to/glovebox-mcp/.venv/bin/python",   // filled in by install.sh    "args":    ["/abs/path/to/glovebox-mcp/server.py"],    "env":     { "DISPLAY": ":1" }} } }

   Restart the client so it loads the server.
3. Ask the agent to screenshot / click / type — it operates only on the :1 window.

Driving it with an AI agent? Paste AGENTS.md into the agent's system prompt — it teaches the observe → act → verify loop, grounding, the upload/unicode gotchas, and when to stop.

Tools (23)

Every control tool takes instance=N and optional observe / settle_ms (see below). In local mode OmniParser is lazy-loaded on first parse_screen (~6 s once, then ~2 s/parse), after a GPU preflight (VRAM present and free).

Structured, honest responses

Every tool returns JSON: {"ok": true, "action": "click", "instance": 1, "detail": "clicked (10,20) button 1", …}. Failures come back with the MCP isError flag set and the same JSON shape embedded in the error text — {"ok": false, "error": "…", "fix": "…"} — where fix names the call that unblocks you (e.g. a click on a dead instance says to run list_instances() / launch_app(); an unknown element id says to re-run parse_screen(); a GPU that is too small says which mode to switch to). Silent no-ops are treated as failures too: an invalid keysym, a zero scroll, an off-screen click, closing an instance that isn't running, an app that exits on launch, or non-ASCII typing without xclip all error instead of pretending success. Clamped waits are flagged (clamped / settle_clamped). Image-returning calls (screenshot(), observe="screenshot"|"parse") return [json, image]. No subprocess can hang a call: xdotool/xdpyinfo/xclip run under timeouts and a frozen display is reported as such.

Vision backend (selectable, self-diagnosing)

GLOVEBOX_VISION env var, or the .vision-mode file, or default auto:

In local mode the models are loaded by one shared vision-service process per machine (vision_service.py), not by every agent's server: the first parse_screen starts it, parallel agents queue on it (queued_ms in the result), and it exits after 15 idle minutes so a forgotten service never pins the GPU. If it can't be reached the server loads the models in-process instead — the service is an optimization, never a new failure mode. status() shows it under vision.omniparser.service; python vision_service.py status|stop from the shell.

An explicitly requested basic/local that is not usable fails parse_screen with the fix named (OmniParser not installed, no/too-small GPU, GPU out of memory, missing tesseract language data) — it never silently falls back; only auto does, and it says so. Tesseract languages default to slv+eng filtered to what is installed (GLOVEBOX_TESS_LANG overrides). Switch anytime with ./install.sh <mode> (installs only what that mode needs).

Multi-instance (a fleet of app windows)

Every control tool takes instance=N (default 1 = the start-display.sh sandbox). Spin up more — each its own Xephyr display/window on the host desktop:

• launch_app(command, name?, size?) → starts the next free :N running any GUI app (chromium, gimp, inkscape, xterm, …). Chromium-family browsers auto-get X11 flags, a per-instance profile, a remote-debugging port, and downloads routed to files/<N>/; other GTK apps get D-Bus isolation. Returns the instance id, size and any warnings.
• list_instances() · close_instance(n) · app_log(n).

Because each display has its own cursor, multiple agents can drive different instances in parallel — one window each. Each agent's server process allocates display numbers under a cross-process lock, so simultaneous launches don't collide. The GPU is shared through the vision service (one model load, requests queue; see above). The host display for new windows is GLOVEBOX_HOST_DISPLAY (default :0); XAUTHORITY is auto-discovered. Instances outlive the server process by default (another agent or session can pick them up via list_instances); set GLOVEBOX_CLEANUP_ON_EXIT=1 to close the ones a server launched when it exits.

One-call action + observe

click · click_element · type_text · press_keys · scroll · drag · double_click · upload_file · wait_for_stable take observe (none default · screenshot · parse) and most take settle_ms. With observe="screenshot" the action returns its result and the resulting screen in a single call — no separate screenshot round-trip. Use settle_ms when you know the delay, wait_for_stable(observe="screenshot") when you don't. Default none keeps routine steps cheap; opt into screenshot/parse on the steps that change the page (navigations, submits).

Files & uploads

Each instance gets a staging folder files/<N>/ inside the install dir — a stable place to drop files for that instance (readable by native apps and, since it's under $HOME, by snap Chromium too). list_files(instance) shows the folder and its contents, with sizes and a partial flag for in-progress downloads.

• Browser <input type=file> → upload_file(path, instance) (via CDP; page_url_contains picks the tab when several are open). The nested file picker is invisible to automation and hangs snap Chromium, so never click an upload button expecting a dialog.
• Native apps (GIMP, Inkscape, editors) → open_file(path, instance, app="gimp"), or just drive the app's own Open dialog — unlike the browser's, it's a real visible window you can type a path into (Ctrl+L in a GTK file chooser).
• Saving / downloads → apps run as your user, so they can save anywhere you can write. launch_app browser instances are pre-configured to download and "save as" into files/<N>/; point native apps' Save dialogs there too, then list_files(instance) to see the results.

Environment variables

Maintenance (local mode)

The OmniParser lifecycle lives in vision.py (the server owns it; install.sh local just calls it): python vision.py install-omniparser clones OmniParser, downloads the v2 weights into OmniParser/weights/, and makes PaddleOCR optional (this uses easyocr). python vision.py check reports readiness. transformers is pinned to 4.49.0 — newer releases break Florence-2's remote config. If you upgrade OmniParser manually, re-run install-omniparser to re-apply the patch.

Stop

pkill Xephyr      # closes the sandbox (browser + WM + display)

Safety

• The agent's input and vision are scoped to the sandbox display — it does not see or control your real desktop.
• The server process and the apps it launches run as your user (shell/file access, like any MCP server); only the GUI control is sandboxed to the Xephyr window. Files the agent saves, opens or uploads are your real files. For OS-level isolation from your files, run it inside a VM or container.
• You can watch everything live and close it instantly with pkill Xephyr.
• Automate responsibly — only sites and services you are authorized to use.

Files

• server.py — the MCP server (all 23 tools).
• vision.py — vision backends: selection rules, GPU preflight, tesseract grouping, OmniParser lifecycle (check / install-omniparser CLI).
• vision_service.py — the shared OmniParser process (Unix socket, idle-exit, status / stop CLI).
• install.sh — mode-aware installer (none / basic / local).
• start-display.sh — launches the Xephyr sandbox (display + window manager + browser).
• AGENTS.md — drop-in tool-usage instructions for the AI agent (paste into its system prompt).
• ROADMAP.md — what is planned next (MCP SDK 2.x migration, …).
• mcp-config.json — a ready-to-paste MCP client config snippet.

Credits

local vision mode uses Microsoft's OmniParser (cloned and weights downloaded by vision.py, under its own license). Screen capture uses mss; input is driven with xdotool. Not affiliated with Microsoft.

Contributing

Shipped as-is under MIT. Issues and PRs are welcome, but this is maintained by one person — no support or response time is guaranteed. If it's useful to you, a ⭐ helps.

License

MIT — see LICENSE.