What are the prerequisites?
Python 3.11 or higher and an LLM provider (e.g., OpenAI). Playwright must be installed via `playwright install`.
@m2rads
基本情報
e2e mcp server to automate validating your ai generated code
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"e2e-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}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。
An MCP server that enables AI coding agents in IDEs like Cursor and Windsurf to run end‑to‑end tests using Playwright. It streamlines the “vibe coding” workflow by connecting the AI agent directly to browser‑based test execution.
Set up a Python 3.11+ environment with uv venv and install dependencies (uv pip install -r requirements.txt and playwright install). Add your LLM API key as OPENAI_API_KEY. The server communicates via stdio transport and is invoked with uv run mcp dev server.py for debugging.
Python 3.11 or higher and an LLM provider (e.g., OpenAI). Playwright must be installed via `playwright install`.
Create a virtual environment with `uv venv`, activate it, install `requirements.txt`, and set the `OPENAI_API_KEY` environment variable.
It uses stdio as the MCP transport. All browser output is disabled to avoid interfering with the protocol.
Run `uv run mcp dev server.py` to use the MCP inspector tool.
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