MCP desde cero: Conecta tu IA a cualquier dato - Transcript [AR]

The video is a workshop explaining the Model Context Protocol (MCP). It covers what MCP is, how it standardizes connecting AI models to external tools and data sources, and the roles of hosts, clients, and servers. The presenter demonstrates practical workflows: connecting MCPs locally and remotely, using examples like Beehiiv newsletters, GitHub, and Behive, and building or using MCPs from Python, VS Code, and other editors. It includes setup steps, authentication, and running MCP servers, plus ideas for creating custom MCPs and integrating MCPs into development environments. The goal is to show how MCP acts like a universal, safe, and extensible connector for AI agents to access external data and services.