Uindow MCP server

Uindow - AI browser immune to prompt injections

Uindow drives a real, signed Chromium/Electron browser with genuine OS-level input - actual cursor movement, real keystrokes, and native file dialogs rather than synthetic page events. It runs entirely on your own machine and your own network, and every line of code it executes sits in plain sight in this repository.

Automate it three ways:

MCP server, so Claude, Cursor, VS Code, or any MCP-compatible client can list, create, and run automation modules directly. See Control Uindow from AI assistants.

• No code - build automations in the integrated editor and record complex workflows without writing code.
• From any AI assistants - Uindow ships a local

debug automations with ease. Auto-completion, code healing, JavaScript parsing, and linting are all built in.

• Write automations in pure JavaScript - Use the integrated development environment to write, test, and

Running Uindow

In order to use the app, create an account for free at uindow.com and follow the on-screen instructions.

Option 1 - Prebuilt binaries (recommended)

We build signed binaries for macOS, Windows, and Linux directly from the dist source, and host them on the GitHub Releases page (current and older versions) and on the Uindow install page.

Option 2 - npx

One command to fetch the CLI and launch the app:

npx -y @uindow/cli@latest app:start

Other lifecycle commands:

npx @uindow/cli app:status  # check whether the app is running
npx @uindow/cli app:stop    # stop the app

Option 3 - Run from source

Clone the repository and launch the app directly from source.

git clone https://github.com/uindow/uindow.git uindow
cd ./uindow/
npm install
npm start

Control Uindow from AI assistents (MCP)

Uindow exposes a local Model Context Protocol server, so any MCP-compatible client can drive web-automation agents directly. The server communicates over stdio securely and is launched on demand by the AI assistant.

Requirements: Node.js 18+ with npx on your PATH.

npx -y @uindow/cli@latest mcp

Quick reference

Uindow provides a 1-click connector for the most popular AI assistants.

Go to Uindow > AI assistants > Connect

JetBrains AI Assistant

Go to Settings > Tools > AI Assistant > Model Context Protocol (MCP) and click Add, then paste the JSON. In the same dialog, set the scope to Global rather than project-scoped so the server is available in every project you open, then click Apply to start it.

{
    "mcpServers": {
        "uindow": {
            "command": "npx",
            "args": ["-y", "@uindow/cli@latest", "mcp"]
        }
    }
}

Shortened. The full README is on GitHub.