Open SourceProjects
Security tools, AI integrations, and machine learning research. Building useful tools and exploring new technologies.
MCP Servers
These projects explore how AI agents can be extended with real world capabilities, from offensive security and forensics to creative generation and workflow automation.
frida-game-hacking-mcp
A MCP implementation of Frida that seeks to emulate Cheat Engine functionality to allow for seamless Game Hacking by AI agents. Enables LLMs to interact with game memory, scan for values, and manipulate game state.
Pcap-Analysis-MCP
MCP implementation of PCAP file analysis tools to bring functionality to SOC and DFIR AI agents. Allows LLMs to parse, analyze, and extract insights from network packet captures.
Windows-Memory-Forensics-MCP
MCP server for Windows memory forensics. Provides AI agents with 33 tools for analyzing memory dumps using Volatility 3, MemProcFS, and CLR/SOS backends. Includes process analysis, malware detection, staged payload reconstruction, and YARA scanning.
ProcMon-MCP
MCP server giving AI assistants deep visibility into Windows internals: processes, ETW kernel traces, event logs, services, drivers, minifilters, and static PE analysis. 18 tools for security research and reverse engineering.
Comfy-UI-MCP
Comprehensive MCP server with 57 tools giving AI assistants full programmatic control over ComfyUI. Build workflows, generate images/audio/video, manage models, and orchestrate multi-step pipelines through natural language.
ICS-Exploitation-MCP
MCP server with 56 tools that extends AI agent capabilities into ICS exploitation. Supports OPC-UA, S7comm (Siemens), BACnet, Modbus, and EtherNet/IP protocols for authorized security assessments of industrial control systems.
ML Research & Learning
Machine learning projects from Hack The Box Academy courses
Network Anomaly Detection
AI model to predict if network traffic is abnormal based on Random Forests, trained on the NSL-KDD dataset. Built for Hack The Box Academy ML course.
Movie Review Sentiment Analysis
Machine learning implementation to classify movie review sentiment as positive or negative. Jupyter notebook exploring NLP and classification techniques.
Spam Classification
Spam classification using Naive Bayes algorithm trained on the SMS Spam Collection dataset. Explores text classification and probabilistic models.
Developer Tools & Methodology
Frameworks and tools for structured, spec-driven development in the agentic era