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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Basic information
[MCP Server] The Security Agent for AI assisted coding
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"VibeCheck": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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