# Playwright MCP Server

> Use this tool when you need to automate browser interactions for Large Language Models (LLMs) or enable them to understand web page content without relying on visual inputs. The Playwright MCP Server provides structured accessibility snapshots, allowing LLMs to interact with web pages through a Model Context Protocol server. It is ideal for use cases requiring browser automation, web scraping, or accessibility analysis, accepting web page URLs as input and outputting structured data for LLM consumption.

Canonical page: https://skillsregistry.net/skills/akhatorking1-accessibility-playwright-mcp  
JSON: https://api.skillsregistry.net/v1/skills/akhatorking1-accessibility-playwright-mcp

## Description

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots, providing browser automation capabilities without requiring screenshots or visually tuned models.

## 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/lrl7p9sl78)
- **Repository:** <https://github.com/AkhatorKing1/accessibility-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": "akhatorking1-accessibility-playwright-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akhatorking1-accessibility-playwright-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akhatorking1-accessibility-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
