AI skills go distributed via MCP protocol: because agents needed their own microservices nightmare too

The artificial intelligence industry is undergoing a significant transformation with the rise of distributed AI skills, marking a shift from monolithic intelligence to a cloud-based brain. This evolution is comparable to the internet's transition from standalone software to distributed architectures. The concept of AI skills, initially introduced in cutting-edge agent practices like Claude Code, has evolved into a higher-dimensional abstraction in modern application development frameworks like Solon AI. The Model Context Protocol, or MCP, has emerged as a standard protocol connecting AI models with external data and tools, enabling seamless communication between agents and vendors across different physical locations. This development has led to the creation of distributed tools, which possess physical location transparency and function as independent capability nodes. The distribution of AI skills is expected to have a significant impact on the industry, enabling decoupling and reuse of complex skills, establishing security boundaries, and forming a heterogeneous ecosystem.