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Prompts are MCP's third primitive — the server packages ready-to-use conversation context, the client just receives it. This section covers two prompt shapes: a plain string return (auto-wrapped into a single UserMessage) and a list[base.Message] return for seeding multi-turn conversations. Includes list_prompts schema breakdown and live output for both get_prompt calls. https://github.com/ryanboscobanze/python-mcp-masterclass Hashtags: #MCP #ModelContextProtocol #FastMCP #Python #AIAgents #LLM #AITools #AgenticAI #SoftwareDevelopment #PythonTutorial