What are the prerequisites to run VibeCheck Web tester?
Python 3.10+, access to an LLM API (Gemini 2.0 Flash works well for free), MCP installed, and Playwright browsers installed via `patchright install --with-deps`.
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基本信息
[MCP Server] The Security Agent for AI assisted coding
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"VibeCheck": {
"command": "python",
"args": [
"-m",
"venv",
"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。
VibeCheck Web tester is an intelligent security agent that integrates with AI coding assistants to analyze code for vulnerabilities and facilitate AI-driven remediation before insecure code reaches the codebase. It uses the Model Context Protocol (MCP) to interact with assistants like Cursor, GitHub Copilot, and Claude Code.
Clone the repository, install dependencies (Python 3.10+, MCP, Playwright), configure a .env file with your LLM API key, and add the provided MCP server configuration to your AI coding assistant. Then use natural language commands to request security scans, record tests, or run regression tests.
Python 3.10+, access to an LLM API (Gemini 2.0 Flash works well for free), MCP installed, and Playwright browsers installed via `patchright install --with-deps`.
Rename `.env.example` to `.env`, set `LLM_API_KEY` to your API key, and place the file in the project root.
It integrates Semgrep for static analysis and can invoke Nuclei or ZAP for dynamic checks against running components.
Yes –

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