# Playwright MCP Server

> Use this tool when you need to automate web interactions or extract data from web pages without relying on visual processing. The Playwright MCP Server provides browser automation capabilities, allowing for tasks like web navigation, form filling, and data extraction through structured accessibility snapshots. It is ideal for use cases where LLMs require programmatic interaction with web pages, providing inputs like URLs and actions, and generating outputs like extracted data or page snapshots.

Canonical page: https://skillsregistry.net/skills/apify-actor-playwright-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apify-actor-playwright-mcp

## Description

This server provides browser automation capabilities using Playwright, allowing LLMs to interact with web pages through structured accessibility snapshots. It enables tasks like web navigation, form filling, and data extraction without the need for screenshots or vision-tuned models.

## Trust

- **Trust score (0–1):** 0.92
- **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:** [Glama](https://glama.ai/mcp/servers/fqvlyuv1so)
- **Repository:** <https://github.com/apify/actor-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": "apify-actor-playwright-mcp"
    }
  }
}
```

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