Citation:

Amil Bhadreshkumar Shah, 2026. Model Context Protocols and Agentic AI Middleware: An Enterprise Architecture Framework for Scalable AI-Driven Digital Transformation  Volume 6 Issue 3: 15-24.

Abstract:

As large language models (LLMs) continue to mature quickly, the focus of enterprise AI has shifted from simply leveraging the model to the integration, orchestration, and governance of enterprise AI. While the shift from chatbots to agentic ones that reason, plan, and make decisions on their own across a plethora of different data sources and tools, there are no universal frameworks that connect models to enterprise resources. In response to this challenge, this review discusses the Model Context Protocol (MCP) and the entire class of agentic AI middleware, in the context of enterprise integration and the development of middleware.

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Keywords:

Model Context Protocol. Agentic Artificial Intelligence, AI Middleware; Enterprise Architecture, Large Language Model Agents, Retrieval-Augmented Generation, Multi-Agent Systems, AI Governance, Digital Transformation, Tool-Using Language Models.