Monday, December 1, 2025

Understanding MCP: Its Importance for AI Developers | NASSCOM

Artificial intelligence is evolving beyond basic functions like chatbots, now driving significant changes in enterprise tools and workflows. Despite advancements, large language models (LLMs) face challenges in securely interacting with business systems. The Model Context Protocol (MCP) addresses this gap by providing a standardized, secure interface for AI systems to connect with enterprise data and tools without the need for custom APIs or plugins. This innovation fosters seamless AI automation while enhancing security and maintainability. As the enterprise agentic AI market is poised to grow from USD 6.76 billion in 2025 to USD 46.04 billion by 2030, early adoption of MCP can future-proof AI infrastructures, facilitate efficient integration across varied applications, and avoid vendor lock-in. The MCP architecture, involving clients, servers, tools, and model interfaces, ensures scalable, secure operations. Opcito specializes in developing robust MCP server solutions to help organizations transition from pilot projects to full-scale deployments efficiently.

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