# ZenDriver

> Use this tool when you need to automate browser interactions while evading bot detection, or when requiring efficient and human-like browser automation for tasks such as web scraping, form submission, or accessibility testing. ZenDriver provides a high-level interface for controlling Chrome browsers, accepting inputs like navigation commands and form data, and outputting optimized DOM representations and performance metrics. It is ideal for use cases involving complex web interactions, performance optimization, and device emulation.

Canonical page: https://skillsregistry.net/skills/bituq-zendriver  
JSON: https://api.skillsregistry.net/v1/skills/bituq-zendriver

## Description

ZenDriver provides browser automation for LLM agents by communicating directly with Chrome DevTools Protocol, bypassing bot detection mechanisms including Cloudflare Turnstile and the navigator.webdriver flag. It features token-optimized DOM representation that reduces context by 96% versus raw HTML, full DevTools integration for performance traces and heap snapshots, and human-like interaction patterns. The server exposes 96 tools across 22 modules covering navigation, forms, cookies, accessibility, and device emulation.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bituq-zendriver)
- **Repository:** <https://github.com/bituq/zendriver-mcp>

## 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": "bituq-zendriver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bituq-zendriver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bituq-zendriver/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