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`.
@Ilikepizza2
基本情報
[MCP Server] The Security Agent for AI assisted coding
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": {
"VibeCheck": {
"command": "python",
"args": [
"-m",
"venv",
"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。
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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