Since its announcement a couple of months ago, the Model Context Protocol (MCP) has gained significant attention. Initially, MCP served as a straightforward mechanism, essentially a plugin system, to grant Large Language Models (LLMs) the ability to interact seamlessly with their environment, thus enhancing AI assistants and agents. Applying Wardley’s theory to trace the protocol’s evolution, I’d argue that MCP has progressed beyond Stage I (labeled genesis in the image), establishing a...
