# Playwright

> Use this tool when you need to automate web interactions, such as navigation, screenshots, and JavaScript execution, to solve problems like web scraping, testing, or content generation. It provides a bridge between AI systems and web browsers through the Model Context Protocol, allowing for seamless interaction without requiring direct browser handling. Ideal for use cases like automated data collection, UI testing, and dynamic web content creation, this tool enables AI assistants to perform complex web automation tasks.

Canonical page: https://skillsregistry.net/skills/blackwhite084-playwright-plus  
JSON: https://api.skillsregistry.net/v1/skills/blackwhite084-playwright-plus

## Description

This Playwright-powered MCP server, developed by YUNYING, enables AI assistants to interact with web browsers through the Model Context Protocol. Built in Python, it provides a bridge between MCP clients and Playwright's browser automation capabilities, allowing operations like navigation, screenshots, clicks, and JavaScript execution. The implementation leverages libraries such as MCP for protocol handling and Playwright for browser control. By abstracting browser interactions into MCP-compatible tools, it allows AI systems to easily perform web automation tasks without directly handling browser complexities. This server is particularly useful for scenarios requiring AI-driven web scraping, testing, or content generation, facilitating use cases such as automated data collection, UI testing, and dynamic web content creation.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/blackwhite084-playwright-plus)
- **Repository:** <https://github.com/blackwhite084/playwright-plus-python-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": "blackwhite084-playwright-plus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/blackwhite084-playwright-plus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/blackwhite084-playwright-plus/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