Penetration testing MCP server with security tools
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[](https://mseep.ai/app/ram001-code-pentestmcp) [](https://mseep.ai/app/baf52bdd-53df-484e-9b56-2ee38c8f3027) # pentestMCP: AI-Powered Penetration Testing via MCP [](https://opensource.org/licenses/MIT) <!-- Example badges (replace placeholders/add relevant ones) --> <!-- [](https://travis-ci.com/Ram001-code/pentestMCP) --> <!-- [](https://github.com/Ram001-code/pentestMCP/issues) --> <!-- [](https://github.com/Ram001-code/pentestMCP/network) --> <!-- [](https://github.com/Ram001-code/pentestMCP/stargazers) --> **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](https://github.com/LaurieWired/)'s [GhidraMCP](https://github.com/LaurieWired/GhidraMCP). --- ## Table of Contents - [Core Concepts & Architecture](#core-concepts--a…
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