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MCP End-to-End Testing for Roo-Code Integration

@shipdocs

基本信息

分类

开发工具

传输方式

stdio

作者

shipdocs

关于 MCP End-to-End Testing for Roo-Code Integration

This runs a mcp server for automatic testing of usability from a users pov

MCP End-to-End Testing for Roo-Code Integration 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "vibe-coding-mcp-end-2-end-testing": {
      "command": "node",
      "args": [
        "index.js"
      ]
    }
  }
}

MCP End-to-End Testing for Roo-Code Integration 工具

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。

概览

What is MCP End-to-End Testing for Roo-Code Integration?

This repository provides an MCP (Model Context Protocol) server, published as the npm package @shipdocs/mcp-playwright-test, for automated web testing using Playwright. It is designed to integrate with VSCode AI extensions like Roo-Code, enabling AI-assisted browser automation, error detection, and debugging.

How to use MCP End-to-End Testing for Roo-Code Integration?

Install the package globally with npm install -g @shipdocs/mcp-playwright-test, then initialize a configuration file with mcp-playwright-test init and start the server with mcp-playwright-test start. On first run you will be prompted to configure login details for your target website. Alternatively, clone the repository and run node index.js from the mcp-playwright-test directory. To integrate with Roo-Code, add a new MCP server in VSCode using STDIO or SSE transport.

Key Features of MCP End-to-End Testing for Roo-Code Integration

  • Full MCP server with resource and command endpoints
  • Playwright-powered browser automation for Chrome, Firefox, and WebKit
  • Automated login, navigation, and web exploration
  • Error detection and logging for AI-assisted debugging
  • Screenshot capture and accessibility analysis
  • STDIO and SSE transport for Roo-Code integration

Use Cases of MCP End-to-End Testing for Roo-Code Integration

  • Run automated end-to-end tests with AI guidance via Roo-Code
  • Test login flows and multi-page navigation in web applications
  • Capture screenshots and analyze accessibility for QA workflows
  • Enable AI assistants to debug web pages interactively
  • Integrate browser testing into VSCode-based AI coding sessions

常见问题

1

What is the difference between this MCP server and a standalone Playwright script?

This server implements the Model Context Protocol, allowing AI assistants like Roo-Code to control browser actions, retrieve test results, and debug through a standardized interface rather than running isolated scripts.

2

What are the runtime dependencies?

Node.js and npm are required. Playwright browsers (Chromium, Firefox, WebKit) are automatically managed by the Playwright library when starting the server.

3

How is user data or login information handled?

On first run, the tool prompts you to configure login details for your target website. Configuration is stored locally in a file created by the `init` command.

4

What transports are supported for Roo-Code integration?

Both STDIO (run the tool as a child process) and SSE (connect to an already running server) transports are supported, configurable through Roo-Code MCP settings in VSCode.

5

Are there any known limitations?

The README does not document specific limitations. It references detailed user and integration guides for advanced configuration.

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