A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP — Making Agent Workflows Smarter and Safer
Read OriginalThis article, part of a series on AI and LLMs, details the Model Context Protocol's (MCP) Sampling and Prompts features. It explains how Sampling allows MCP servers to request LLM completions for decision-making, and how Prompts provide reusable templates for guided AI interactions. The post covers their technical implementation, best practices, security benefits, and how they combine to create dynamic, user-controlled agent workflows.
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