#client-server-architecture

#client-server-architecture

In this video course quiz, you'll test your understanding of Connecting LLMs to Your Data With Python MCP Servers. By working through this quiz, you'll revisit core MCP concepts like the client-server architecture, tools that LLMs can call, resources that expose static data, and prompts that act as reusable templates.

Large language models, the engines of many of today's cutting edge AI applications, process and return responses to prompts using training data, whether the task at hand is solving a logic-level problem or writing complex lines of code. LLMs cannot 'naturally' access external databases, content repositories, and third-party applications.. Linking LLMs to external data used to be a manually intensive, case-by-case task.