Enables natural-language-driven security testing by orchestrating multiple pen-testing tools through MCP, with automated scan execution and AI-assisted vulnerability summarization.
Enables AI-assisted penetration testing by connecting MCP clients to a Windows API server for executing penetration testing tools like nmap, ffuf, nuclei, and other security tools. Allows AI agents to perform automated security assessments, solve CTF challenges, and assist with ethical hacking tasks through natural language commands.
Integrates OWASP ZAP security testing with AI assistants through MCP, enabling automated vulnerability scanning and AI-powered security analysis during development. Supports multiple scan types including active, passive, and AJAX spider scans with real-time status updates.
Enables deep security auditing of web applications directly from AI IDEs including Cursor and Claude Code. Scans URLs for vulnerabilities, returns security scores with SHIP/BLOCK verdicts, and provides specific fix prompts for remediation.
Enables interaction with the Veracode platform to perform security tasks like running SAST scans, checking SCA vulnerabilities, and retrieving CVE information. It allows AI assistants to manage scan workflows, from zipping source code to analyzing scan results through natural language.