A vulnerable MCP server implementation that demonstrates how poor coding practices can lead to security issues like Remote Code Execution, designed for educational purposes to add numbers.
An intentionally vulnerable MCP server for security training, simulating a fictional company with 28 vulnerable tools and 38 challenges to learn AI agent attack and defense.
An educational project that deliberately implements vulnerable MCP servers to demonstrate various security risks like prompt injection, tool poisoning, and code execution for training security researchers and AI safety professionals.
A security-focused MCP server that enables automated log retrieval and threat analysis using LangGraph orchestration and RAG. It allows users to detect suspicious activity and generate structured security insights by integrating LLM reasoning with log data and runbook documentation.