# Playwright MCP Server

> Use this tool when you need to interact with web pages programmatically, enabling AI systems to browse and retrieve content in a structured manner. It solves problems related to web scraping, automation, and data extraction, providing a standardized interface through the Model Context Protocol. The server accepts requests and returns relevant data, making it ideal for use cases requiring automated web interaction, such as data mining, monitoring, and testing.

Canonical page: https://skillsregistry.net/skills/kotelberg-playwright-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/kotelberg-playwright-mcp-server

## Description

A server that enables AI systems to browse, retrieve content from, and interact with web pages through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.92
- **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:** [Glama](https://glama.ai/mcp/servers/b5op6oy58u)
- **Repository:** <https://github.com/Kotelberg/playwright-mcp-server>

## 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": "kotelberg-playwright-mcp-server"
    }
  }
}
```

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