What are the prerequisites?
Python 3.11 or higher and an LLM provider (e.g., OpenAI). Playwright must be installed via `playwright install`.
@m2rads
基本信息
e2e mcp server to automate validating your ai generated code
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"e2e-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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