# Steel Puppeteer

> Use this tool when you need to automate complex web interactions and extract data with precision, leveraging AI models and browser control. The Steel Puppeteer integrates Puppeteer with the Steel SDK, providing a bridge between AI models and web browsing capabilities. It is ideal for tasks such as AI-assisted web scraping, testing, or content generation that require sophisticated browser manipulation and automation.

Canonical page: https://skillsregistry.net/skills/steel-puppeteer  
JSON: https://api.skillsregistry.net/v1/skills/steel-puppeteer

## Description

This MCP server, developed by Steel, integrates Puppeteer with the Steel SDK for browser automation. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a bridge between AI models and web browsing capabilities. The implementation stands out by combining Steel's automation features with Puppeteer's powerful browser control, enabling complex web interactions and data extraction. It's particularly useful for developers and researchers working on AI-assisted web scraping, testing, or content generation tasks that require sophisticated browser manipulation and automation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/steel-puppeteer)
- **Repository:** <https://github.com/steel-dev/steel-mcp-server>

## 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": "steel-puppeteer"
    }
  }
}
```

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

---
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
