The Model Context Protocol (MCP), introduced in November 2024, aimed to serve as a universal connector for AI systems but quickly became a target for security breaches due to insufficient application of established security principles. Within months, the rapid integration of MCP across various tools and platforms led to significant vulnerabilities, exposing sensitive data through attacks such as tool poisoning, prompt injection, and command injection. Notable incidents included the exfiltration of WhatsApp chat histories, unauthorized access to GitHub repositories, and data leaks from Asana and Anthropic servers, often due to overly broad API token scopes and inadequate input validation. These breaches underscore the persistent nature of traditional security flaws, highlighting the necessity for rigorous implementation of principles like least privilege and zero trust in the burgeoning AI ecosystem. As MCP adoption continues to grow, organizations are urged to treat it with the same security rigor as other critical infrastructure components, as attackers are already exploiting these new threat surfaces.