Anthropic's Model Context Protocol (MCP) functions as a universal interface for AI applications, likened to a USB-C connector for its ability to easily link various AI tools and external applications. The protocol is designed to be agnostic of specific large language models (LLMs) or applications. To facilitate this, an MCP server acts as a bridge between applications and agentic systems, allowing AI agents to engage with specific functionalities, or "tools", within broader applications like Salesforce. These tools represent granular operations, such as creating or updating entries, rather than complete applications. Additionally, MCP distinguishes between tools and "resources", which are static files that AI agents can access, such as documents from Google Drive. Pre-written "prompts" are also provided by MCP to guide AI agents in interpreting and interacting with data correctly, while "actions" refer to the real-time invocation of these tools by AI agents to accomplish tasks, akin to executing an HTTP query. This setup aims to clarify the often confusing terminology associated with MCP and streamline the interaction between AI systems and their environments.