# docker-stealthy-auto-browse

> docker-stealthy-auto-browse — psyb0t-docker-stealthy-auto-browse. Use this tool when you need to automate browser interactions without detection, such as web scraping or automated testing, with a stealthy and remote-controllable browser. It solves problems of browser automation detection and provides a JSON HTTP API and MCP server for input, with noVNC for live output. It is ideal for use cases requiring anonymous and undetectable browsing, with real OS-level input and zero Chrome DevTools Protocol exposure.

Canonical page: https://skillsregistry.net/skills/psyb0t-docker-stealthy-auto-browse  
JSON: https://api.skillsregistry.net/v1/skills/psyb0t-docker-stealthy-auto-browse

## Description

Stealth browser automation that actually works. Runs Camoufox (custom Firefox) in Docker with zero Chrome DevTools Protocol exposure, real OS-level mouse and keyboard input via PyAutoGUI, and a JSON HTTP API + MCP server to control it all remotely. Watch it live via noVNC.

## Trust

- **Trust score (0–1):** 0.24
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/psyb0t/docker-stealthy-auto-browse)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "psyb0t-docker-stealthy-auto-browse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/psyb0t-docker-stealthy-auto-browse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/psyb0t-docker-stealthy-auto-browse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
