# Playwright Recorder

> Use this tool when you need to automate browser interactions and generate test scripts by recording user actions. It solves problems related to creating reproducible test scenarios by capturing DOM interactions, screenshots, and page navigation events. The Playwright Recorder takes user interactions as input and outputs test scripts, ideal for use in development and testing contexts where automating browser interactions is necessary.

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

## Description

Playwright MCP is a browser automation and interaction recording tool that enables AI assistants to generate test scripts by capturing user interactions. Built with React and TypeScript, it provides a real-time recording interface that tracks DOM interactions, screenshots, and page navigation events, allowing developers to easily create reproducible test scenarios through a visual, context-driven workflow.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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