Model Context Protocol (MCP) is an open-standard communication framework designed to enable seamless integration between Large Language Models (LLMs) and external data sources or tools.

By providing a universal interface, MCP allows AI models to securely access local or remote contexts, such as databases, file systems, and SaaS APIs, without requiring custom integration for every specific provider.

In the context of an AI Gateway, MCP facilitates the development of agentic workflows by standardizing how models retrieve information and execute actions. This reduces architectural complexity, enhances data portability, and ensures that AI applications can leverage Real-Time Machine Learning, proprietary data while maintaining strict governance and security standards.