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Uindow

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Real signed-browser automation for AI agents, over a local stdio MCP server.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "uindow": {
      "command": "npx",
      "args": [
        "-y",
        "uindow"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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:

  • No code - build automations in the integrated editor and record complex workflows without writing code.
  • From any AI assistants - Uindow ships a local 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.
  • Write automations in pure JavaScript - Use the integrated development environment to write, test, and debug automations with ease. Auto-completion, code healing, JavaScript parsing, and linting are all built in.

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:

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

Other lifecycle commands:

Terminal
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.

bash
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.

Terminal
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

AI assistantInstant connectRoot keyConfig location
Claude Code (CLI + Desktop Code)βœ… yesmcpServers~/.claude.json
Claude Desktop (Chat / Cowork)βœ… yesmcpServersclaude_desktop_config.json
Cursorβœ… yesmcpServers~/.cursor/mcp.json
VS Code (Copilot)βœ… yesserversmcp.json (MCP: Open User Configuration)
Windsurfβœ… yesmcpServers~/.codeium/windsurf/mcp_config.json
Zedβœ… yescontext_serverssettings.json
Codexβœ… yesTOML [mcp_servers.*]~/.codex/config.toml
Gemini CLIβœ… yesmcpServers~/.gemini/settings.json
Clineβœ… yesmcpServerscline_mcp_settings.json
Gooseβœ… yesYAML extensions~/.config/goose/config.yaml

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.

config.json
{

    "mcpServers": {

        "uindow": {

            "command": "npx",

            "args": ["-y", "@uindow/cli@latest", "mcp"]

        }

    }

}

Any other AI Assistant

Most remaining AI assistants accept the same object under mcpServers. Look for the config file in your home directory (~/.<client>/...) rather than the one in your project root - the home-directory copy is the global one:

config.json
{

    "mcpServers": {

        "uindow": {

            "command": "npx",

            "args": ["-y", "@uindow/cli@latest", "mcp"]

        }

    }

}

Point the AI assistant at the command npx with arguments -y @uindow/cli@latest mcp.

If your AI assistant requires an explicit transport field, use "type": "stdio".

Verifying the connection

Run the launch command by hand first - it's the fastest way to separate "Uindow is broken" from "the AI assistant can't start it":

Terminal
npx -y @uindow/cli@latest mcp

A stdio server prints nothing and blocks. A silent, hung terminal means it started correctly; press Ctrl-C and go back to your AI assistant. Any stack trace you see here is the real error your AI assistant was swallowing.

Then confirm the scope took: open the AI assistant from a different directory than the one you configured it in, and check that Uindow's tools are still listed. If they vanish, the entry landed in a project-local config.

Troubleshooting

  • Server works in one project but not another.

    • Classic scope problem - the entry is project-local. In Claude Code, claude mcp list from the other directory will come up empty; re-add with --scope user. In Gemini CLI, re-add with -s user. In Cursor and VS Code, move the entry from .cursor/mcp.json or .vscode/mcp.json to ~/.cursor/mcp.json or the user-profile mcp.json.
  • spawn npx ENOENT / server never starts in a GUI app.

    • Desktop apps don't inherit your shell's PATH, which bites anyone using nvm, asdf, or Volta. Run which npx (where npx on Windows) and put the absolute path in command.
  • Config saved, nothing happened.

    • Most desktop AI assistants only reload MCP config on a full restart - quit the app entirely (macOS: Cmd+Q; Windows: quit from the tray icon) rather than closing the window.
  • Tools missing after adding the server.

    • Check the root key against the table above: servers for VS Code, context_servers for Zed, mcp_servers in TOML for Codex, mcpServers everywhere else. A wrong key is ignored silently in most AI assistants.
  • Duplicate or shadowed entries.

    • Several AI assistants resolve project config ahead of global config, so an old project-local uindow entry will silently win over the new global one. Delete the stale entry rather than editing both.
  • Server connects but tools aren't used.

    • In Claude Code, MCP tools are deferred behind tool search by default and loaded on demand, so they may not appear in an upfront tool list. Ask for a Uindow tool by name, or set "alwaysLoad": true on the server entry to load its tools at session start.
  • Where to look next.

    • claude mcp list and /mcp (Claude Code), Output panel > MCP Logs (Cursor), Output > MCP (VS Code), ~/Library/Logs/Claude/mcp*.log or %APPDATA%\Claude\logs\mcp*.log (Claude Desktop).

Command-line interface

You can run Uindow from any CI/CD pipeline or command-line interface.

Terminal
npx -y @uindow/cli@latest --help

Alternatively, you can use node dist/bin.js --help instead of npx @uindow/cli --help for a faster response.

server.ts
  USAGE

    $ npx @uindow/cli <command> [options]



  AVAILABLE COMMANDS

    $ npx @uindow/cli mcp                     Uindow MCP server (stdio) 

    $ npx @uindow/cli app_docs                Query SDK documentation 

    $ npx @uindow/cli app_status              Get application status 

    $ npx @uindow/cli app_start               Start application 

    $ npx @uindow/cli app_stop                Stop application 

    $ npx @uindow/cli agent_list              List agents 

    $ npx @uindow/cli agent_create            Create agent 

    $ npx @uindow/cli agent_update            Update agent 

    $ npx @uindow/cli agent_delete            Delete agent 

    $ npx @uindow/cli agent_status            Get agent status 

    $ npx @uindow/cli agent_start             Start agent 

    $ npx @uindow/cli agent_stop              Stop agent 

    $ npx @uindow/cli agent_screenshot        Grab agent screenshot 

    $ npx @uindow/cli agent_viewport          Scan agent viewport 

    $ npx @uindow/cli agent_execute           Execute code in an agent 

    $ npx @uindow/cli agent_logs              Get agent logs 

    $ npx @uindow/cli agent_settings_get      Get settings 

    $ npx @uindow/cli agent_settings_set      Update settings 

    $ npx @uindow/cli agent_results_get       Get latest results 

    $ npx @uindow/cli src_sample              Module: get sample (yaml) 

    $ npx @uindow/cli src_export              Module: get source (yaml) 

    $ npx @uindow/cli src_code_get            Module: get state or function code 

    $ npx @uindow/cli src_code_set            Module: set state or function code 

    $ npx @uindow/cli src_keys_list           Module: list item keys 

    $ npx @uindow/cli src_keys_reorder        Module: reorder item keys 

    $ npx @uindow/cli src_keys_update         Module: update item key 

    $ npx @uindow/cli src_keys_delete         Module: delete item 

    $ npx @uindow/cli src_input_get           Module: get input 

    $ npx @uindow/cli src_input_set_bool      Module: set boolean input 

    $ npx @uindow/cli src_input_set_int       Module: set integer input 

    $ npx @uindow/cli src_input_set_string    Module: set string input 

    $ npx @uindow/cli src_input_set_files     Module: set files input 

    $ npx @uindow/cli src_input_set_table     Module: set table input

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Uindow

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "uindow": { "command": "npx", "args": ["-y", "Uindow"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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