PentestThinking
Rank #39931smithery/ibrahimsaleem/pentestthinkingmcp
PentestThinkingMCP: AI-Driven Multi-Stage Penetration Testing Framework Part of the LIMA Research Project – Accepted at IEEE FMLDS 2025 Developed by Mohammad Ibrahim Saleem, Cybersecurity Researcher, University of Houston PentestThinkingMCP is an AI-powered MCP (Model Context Protocol) server developed as part of the LIMA research project. This work was recently accepted as a full paper at IEEE FMLDS 2025. The server automates and optimizes penetration testing workflows by planning complex, multi-stage attack paths using advanced reasoning methods such as Beam Search and Monte Carlo Tree Search (MCTS) enabling efficient, adaptive, and intelligent exploitation in both real-world and CTF environments. 🚀 Core Features AI-generated step-by-step attack recommendations Context-aware tool suggestions aligned with vulnerabilities Critical path analysis to maximize impact with minimal noise Autonomous attack chain simulation with dynamic environment modeling This framework helps red teamers, researchers, and ethical hackers adopt a strategic, AI-assisted offensive mindset, moving beyond traditional one-off exploits. 📢 Citation Request If you use PentestThinkingMCP in your research, academic work, or projects, please cite our paper: “LIMA: Leveraging Large Language Models and MCP Servers for Initial Machine Access” – IEEE FMLDS 2025.
PentestThinking is a Model Context Protocol (MCP) server. It ranks #39931 of 58,832 servers tracked on MCP Toplist. PentestThinking is listed on Smithery, and ships as a single rolling release with no explicit version metadata. It was first listed on May 27, 2025.
Ranks ahead of 18,901 of 58,832 servers on MCP Toplist.
Use PentestThinking
PentestThinking doesn’t publish a machine-readable install config. Open one of its registry listings above to find install instructions.
Listed on 1 registry
Not versioned
This server is published through a registry that does not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is PentestThinking?
- PentestThinkingMCP: AI-Driven Multi-Stage Penetration Testing Framework Part of the LIMA Research Project – Accepted at IEEE FMLDS 2025 Developed by Mohammad Ibrahim Saleem, Cybersecurity Researcher, University of Houston PentestThinkingMCP is an AI-powered MCP (Model Context Protocol) server developed as part of the LIMA research project. This work was recently accepted as a full paper at IEEE FMLDS 2025. The server automates and optimizes penetration testing workflows by planning complex, multi-stage attack paths using advanced reasoning methods such as Beam Search and Monte Carlo Tree Search (MCTS) enabling efficient, adaptive, and intelligent exploitation in both real-world and CTF environments. 🚀 Core Features AI-generated step-by-step attack recommendations Context-aware tool suggestions aligned with vulnerabilities Critical path analysis to maximize impact with minimal noise Autonomous attack chain simulation with dynamic environment modeling This framework helps red teamers, researchers, and ethical hackers adopt a strategic, AI-assisted offensive mindset, moving beyond traditional one-off exploits. 📢 Citation Request If you use PentestThinkingMCP in your research, academic work, or projects, please cite our paper: “LIMA: Leveraging Large Language Models and MCP Servers for Initial Machine Access” – IEEE FMLDS 2025.
- Is PentestThinking an official MCP server?
- PentestThinking is not on the Official MCP Registry. It is listed on Smithery.
- How many versions does PentestThinking have?
- PentestThinking ships as a single rolling release with no explicit version metadata.