This GitHub repository offers intentionally vulnerable Model Context Protocol (MCP) servers for security research and training. Each server includes detailed instructions for running it and demonstrating various vulnerabilities, such as code execution and data exposure. Users should only operate these servers in a controlled lab environment.

This article discusses how the Model Context Protocol (MCP) allows AI agents to connect with various tools and data more efficiently. It highlights the challenges of excessive token usage and latency when loading tool definitions and processing intermediate results. By using code execution, agents can handle tools on-demand and streamline data processing, significantly reducing costs and improving performance.