# Playwright

> Use this tool when you need to automate web browser interactions, perform visual AI tasks, or debug web applications. It provides a robust interface for AI agents to navigate, click, fill forms, and execute JavaScript in real browser environments, with features like screenshot capabilities and console log monitoring. Ideal for AI-driven web testing, data scraping, and automated web interactions, it supports major browsers and integrates with development tools like Claude Desktop and npm.

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

## Description

This Playwright-based MCP implementation, developed by Automata Labs, provides a robust interface between language models and web browsers. It enables AI agents to perform a comprehensive range of browser automation tasks including navigation, clicking, form filling, and JavaScript execution in real browser environments. The implementation distinguishes itself by offering screenshot capabilities and console log monitoring, making it ideal for visual AI tasks and debugging. By leveraging Playwright's cross-browser support, it ensures compatibility across major browsers. This tool is particularly powerful for AI-driven web testing, data scraping, and automated web interactions, enabling more sophisticated AI assistants that can directly manipulate web applications. Its integration with Claude Desktop and npm-based installation process make it easily accessible for developers and researchers working on advanced AI projects.

## 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:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/automata-labs-playwright)
- **Repository:** <https://github.com/vikashloomba/mcp-server-playwright>

## 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": "automata-labs-playwright"
    }
  }
}
```

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