Enterprise AI is moving beyond simple retrieval. Organizations now need AI systems that can reason, call tools, interact with internal systems, and execute real business workflows. The Model Context Protocol (MCP) enables this, and SAS Retrieval Agent Manager (RAM) now brings these capabilities directly into enterprise environments.
In the full blog article, I explain how MCP transforms RAG-powered retrieval agents into action agents that can securely trigger processes, integrate with enterprise APIs, enforce governance, and operate across cloud, hybrid, or air‑gapped deployments. With MCP tool servers, RAM gains modular, reusable, governed integrations that accelerate operational AI across the business.
In the accompanying demo video below, you’ll see how RAM uses MCP tool servers to connect reasoning with real‑world execution—showing exactly how agents select tools, submit structured inputs, and return grounded, audit-ready results:
Check out the full article on the SAS Data Science Blog to learn how MCP works inside SAS Retrieval Agent Manager, see the architecture, and explore real enterprise use cases.
