An AI Agent Server acts as the bridge between your company's data and your AI-powered tools. It lets your AI assistant interact with real-world systems—such as CRMs, databases, or APIs-through secure and structured communication. Think of it as a control center where your AI agents “ask for. SAP AI Agent Hub is a vendor-agnostic command center that provides a single entry point for the discovery and governance of AI agents, large language models (LLMs), and Model Context Protocol (MCP) servers across the business landscape. Without MCP, connecting an AI agent to external services is messy. You'd need custom integrations for every tool: one for JIRA, another for Slack, another for GitHub. Each integration. The Model Context Protocol (MCP) lets apps provide capabilities and context to a large language model. MCP servers can run locally, but remote MCP servers are crucial for sharing tools at cloud scale. The article aims to. Define the level of determinism your workflows require by combining fixed logic with LLM reasoning using Agentforce Script. A universal authoring language, visual canvas, and AI-assisted development. When deploying AI agents to production, you have several Azure options to consider like Azure Container Apps, Azure Kubernetes Service, Azure App Service, Azure Functions, Microsoft Foundry Agents and Microsoft Foundry Hosted Agents.
