The Model Context Protocol (MCP) is designed to enhance the capabilities of Large Language Models (LLMs) by enabling dynamic interactions with external data sources and tools. However, this integration introduces significant security vulnerabilities and privacy concerns, including risks related to data interception, malicious server exploitation, and unauthorized access. The article emphasizes the need for rigorous security measures and best practices to mitigate these risks in MCP implementations.