Why Ignoring the Model Context Protocol (MCP) Could Cripple California’s AI Future
Model Context Protocol (MCP) is revolutionizing how AI applications connect with external tools, APIs, and real-time data. Developed as an open standard by Anthropic, MCP solves the messy complexity of custom integrations by enabling large language models to interact with external systems through a unified, plug-and-play architecture. This article explores MCP’s core architecture, key components like tools and resources, its use in applications like Claude and Cursor, and how it’s shaping the future of AI-driven workflows. Whether you’re building intelligent assistants or full agent-based systems, MCP is the foundational layer you need to scale smart, connected AI solutions.