pentestMCP: AI-Powered Penetration Testing via MCP, an MCP designed for penetration testers.

README
pentestMCP provides a powerful bridge between Large Language Models (LLMs) and practical penetration testing tools through the Model Context Protocol (MCP). This project functions as an MCP Server, exposing a curated suite of over 20 standard security assessment utilities (Nmap, Nuclei, ZAP, SQLMap, etc.) as callable 'tools'. This allows AI agents within MCP-compatible clients (like Claude Desktop or specific VS Code setups) to leverage these utilities for automated and interactive security analysis tasks.
The goal is to enable natural language control over complex security workflows, making pentesting capabilities more accessible and integrated into AI-driven environments. This work is inspired by Laurie Kirk's GhidraMCP.