Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@linux-x11-sandbox Open Firefox in a sandbox display and take a screenshot."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Run Linux GUI apps in isolated X11 displays for AI agents.
linux-x11-harness creates isolated X11 displays and lets AI agents control GUI applications. Each display gets its own X server, window manager, and application process group, so agents can click, type, capture screenshots, and read accessibility trees without touching the host desktop.
Typical uses:
Let an agent operate a GUI app without taking over your real desktop.
Run end-to-end tests that need real input, focus, and screenshots.
Capture accessibility trees or screen recordings for verification.
Related MCP server: openowl
Install and register with your agents in one step:
pip install linux-x11-harness
linux-x11-harness setupAfter setup, open your agent and start asking it to use GUI apps. The agent will launch the harness automatically when needed.
Requirements: Python 3.10+, Rust toolchain, Linux with xvfb and openbox.
linux-x11-harness setup auto-configures both the MCP server and the agent skill where the agent supports them.
Other MCP-compatible agents can connect manually with linux-x11-harness mcp.
You normally do not need to run these. They are useful for debugging or running without an agent:
linux-x11-harness serve # start the daemon
linux-x11-harness mcp # run the MCP stdio proxy
linux-x11-harness status # check daemon status
linux-x11-harness stop # stop the daemonUsage guide — configure displays, backends, and multi-agent isolation.
Agent skill — quick reference for agents.
Architecture — crate layout and design notes.
MIT
This server cannot be deployed
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Automate 1,000+ services from any MCP-compatible AI agent: build Applets, run actions and queries.
Melaya is a remote MCP server. It gives an assistant hands on your own Android phone and browser: it reads the screen through the accessibility tree, then taps, types and navigates inside the apps and sites you allow-list, with no per-app API. It also builds, schedules and runs agent pipelines across 6k+ connected tools. OAuth 2.1, nothing to install.
MCP server for visual regression testing: triage a PR's UI diffs from your coding agent.
