Building effective AI agents with Model Context Protocol (MCP)

The blog post discusses the Model Context Protocol (MCP), which enhances the functionality of large language models (LLMs) within enterprise environments. MCP standardizes tool calling for LLMs, making them more context-aware and capable of performing tasks through APIs rather than just generating text. The post details the evolution of LLM interactions, the introduction of retrieval-augmented generation (RAG), and how MCP provides a unified framework for integrating AI models with various enterprise systems. The article also outlines Red Hat's approach to making MCP enterprise-ready, including governance and lifecycle management.