A deep dive into critical security vulnerabilities found in Model Context Protocol (MCP) implementations, including tool description injection, authentication weaknesses, and supply chain risks, highlighting why these issues demand immediate attention in AI development.

Dive into real-world MCP security vulnerabilities and discover actionable prevention strategies for AI development, focusing on prompt injection, cost-based attacks, and secure credential handling.