Model Context Protocol (MCP) is an open standard that connects AI agents with external tools, data, and services, standardizing interactions and providing a secure interface through MCP servers. However, these servers introduce significant security risks, including credential theft, server compromise, prompt injection, and overly-broad permissions. Real-world examples from companies like Notion, Anthropic, and GitHub highlight vulnerabilities such as credential misuse and unauthorized data access. To mitigate these risks, it is crucial to implement strong authentication, fine-grained authorization, tool registry integrity, operational guardrails, and comprehensive observability. These measures ensure that MCP servers remain secure and reliable while unlocking the potential of AI agents.