In a remote company setting where small talk opportunities are scarce, the CEO proposes using Model Context Protocol (MCP) to enable large language models (LLMs) to engage in mandatory small talk, similar to human employees. MCP is a protocol that allows LLMs to access additional context from applications, enabling them to perform tasks like summarizing web content by using tools such as a fetch server. The text describes creating a custom MCP tool that persuades LLMs to incorporate small talk into their responses by making them believe that failing to do so would result in disciplinary action. While this approach aims to enhance conversation quality, it raises security concerns, as MCP tools can potentially lead to prompt injection attacks or produce incorrect outputs if manipulated. Despite these risks, MCP is recognized as a powerful abstraction that could allow LLMs to interact with various services, though users are cautioned to install tools from trusted sources and verify their outputs regularly.