Bridges Large Language Models with penetration testing tools via the Model Context Protocol (MCP).
Pentest enables natural language control over complex security workflows, making pentesting capabilities more accessible and integrated into AI-driven environments by acting as an MCP server, exposing a curated suite of over 20 standard security assessment utilities (Nmap, Nuclei, ZAP, SQLMap, etc.) as callable 'tools' that AI agents within MCP-compatible clients can leverage for automated and interactive security analysis tasks.