# Playwright MCP

> Playwright MCP — pavanoltraining-poc-playwright-mcp-orangehrm. Use this tool when you need to automate browser testing for web applications like OrangeHRM, as it generates and executes Playwright tests using natural language prompts, supporting accessibility tree validation. It solves problems of manual testing and test maintenance, providing an efficient way to ensure web application functionality. The tool takes natural language inputs and outputs executable Playwright tests, ideal for use cases requiring automated browser testing and validation.

Canonical page: https://skillsregistry.net/skills/pavanoltraining-poc-playwright-mcp-orangehrm  
JSON: https://api.skillsregistry.net/v1/skills/pavanoltraining-poc-playwright-mcp-orangehrm

## Description

Enables AI agents to automate browser testing on the OrangeHRM demo application using natural language prompts, generating and executing Playwright tests with accessibility tree support.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t8kidlqveg)
- **Repository:** <https://github.com/pavanoltraining/POC_Playwright_MCP_orangehrm>

## 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": "pavanoltraining-poc-playwright-mcp-orangehrm"
    }
  }
}
```

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