Building AI agents that need to interact with files, databases, APIs, or internal tools? MCP for AI agents provides a way to give agents structured access to external context while keeping integrations more organized and reusable. This is especially useful when agents need to perform real tasks across multiple systems, not just generate text. The article explains how MCP works and what teams should consider before using it.