# Playwright Screenshot

> Use this tool when you need to capture visual representations of web pages for analysis, testing, or documentation. It solves problems related to visual testing, documentation generation, and web content analysis by taking full-page screenshots of any URL. The tool accepts a URL as input and outputs a screenshot, making it ideal for use cases where AI assistants require visual data from web pages.

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

## Description

A server implementation that enables AI assistants to capture screenshots of web pages using Playwright. Built with TypeScript and the Playwright automation framework, it exposes a single tool for taking full-page screenshots of any URL, connecting to a remote Chrome instance via CDP. The implementation is particularly useful for visual testing, documentation generation, and enabling AI assistants to analyze web content through screenshots.

## 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/playwright-screenshot)
- **Repository:** <https://github.com/veryint/mcp-playwright-screenshot>

## 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-screenshot"
    }
  }
}
```

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