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arXiv · 2510.03610

PentestMCP: A Toolkit for Agentic Penetration Testing

Zachary Ezetta·Wu-chang Feng
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Abstract

Agentic AI is transforming security by automating many tasks being performed manually. While initial agentic approaches employed a monolithic architecture, the Model-Context-Protocol has now enabled a remote-procedure call (RPC) paradigm to agentic applications, allowing for the flexible construction and composition of multi-function agents. This paper describes PentestMCP, a library of MCP server implementations that support agentic penetration testing. By supporting common penetration testing tasks such as network scanning, resource enumeration, service fingerprinting, vulnerability scanning, exploitation, and post-exploitation, PentestMCP allows a developer to customize multi-agent workflows for performing penetration tests.

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Zachary Ezetta, Wu-chang Feng. 2025-10-04. PentestMCP: A Toolkit for Agentic Penetration Testing. https://arxiv.org/abs/2510.03610

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