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Playwright Test Automation MCP Server

@Prathameshs

基本情報

カテゴリ

生産性

トランスポート

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作者

Prathameshs

Playwright Test Automation MCP Server について

Experiments on using mcp for web automation using playwright / puppeteer map servers

Playwright Test Automation MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Playwright Test Automation MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Playwright Test Automation?

A test automation project for web applications using Playwright with Python. It provides a structured approach to writing, organizing, and scaling tests via the Page Object Model and pytest.

How to use Playwright Test Automation?

Clone the repository, install Python dependencies with pip install -r requirements.txt, then run playwright install to download browsers. Execute all tests with pytest tests/.

Key features of Playwright Test Automation

  • Uses Playwright with Python for browser automation
  • Page Object Model via a BasePage class
  • Organized with tests/ and pages/ directories
  • Runs tests using pytest
  • Scalable and maintainable test structure

Use cases of Playwright Test Automation

  • Automate end‑to‑end tests for a web application
  • Structure test suites with reusable page objects
  • Run tests locally during development or in CI
  • Verify UI behavior and assert expected outcomes

よくある質問

1

What tools are used?

Playwright (browser automation) with Python, organized using pytest for test execution and a Page Object Model pattern.

2

How do I install and run the tests?

Clone the repo, run `pip install -r requirements.txt`, then `playwright install` to install browsers. Execute tests with `pytest tests/`.

3

What is the project structure?

It includes a `tests/` folder for test cases (e.g., `test_example.py`) and a `pages/` folder with a `base_page.py` defining common element interaction methods.

4

Can I contribute to this project?

Yes. Contributions are welcome via pull requests or by opening issues for enhancements or bug fixes.

5

What license is used?

The project is licensed under the MIT License.

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