Enterprise AI faces significant challenges due to fragmented data and disconnected tools, which hinder its ability to scale and deliver real-world value. The Model Context Protocol (MCP) addresses this by standardizing how AI agents authenticate, discover functionalities, and execute actions across business systems, similar to how USB-C standardized device connectivity.
With MCP, AI transforms from isolated demos to powerful orchestration engines capable of running workflows and making decisions autonomously. Leading companies such as OpenAI, Salesforce, and Oracle have integrated MCP into their products, marking a shift towards operationalizing AI at scale. This protocol also enables legacy systems to become AI-accessible without costly replacements, maximizing existing technology investments.
Looking ahead, adopting MCP is critical for enterprises to reduce integration costs, speed up AI deployment, and remain competitive. Delaying adoption risks continued fragmentation and underutilization of AI capabilities. MCP empowers AI to fully automate enterprise operations, moving beyond pilot projects to intelligent business orchestration.
👉 Pročitaj original: CIO Magazine
