AI Agents and MCP: Why They Matter for System Integration

AI agents—software that can reason, use tools, and take action—are increasingly part of the integration landscape. When combined with the Model Context Protocol (MCP), they can safely discover and call APIs, query data sources, and orchestrate workflows across your stack.

For system integration, this means agents can act as intelligent glue: they understand context, follow schemas, and reduce the need for one-off scripts. MCP provides a standard way for AI models to connect to tools and data, so your integrations stay consistent and auditable.

In this article we outline why AI agents and MCP matter for integration, and how to think about reliability and governance when bringing them into your architecture.