Central iPaaS is the foundation for MCP-enabled Agentic Enterprise AI. Built as a no-code integration and data management platform, Central is purpose-designed to unify and govern data across modern enterprise systems—including commerce, ERP, CRM, eComm, MES, EDI, finance, operations, and HR. With pre-built connectors for platforms such as Shopify, Oracle NetSuite, Microsoft Dynamics, Acumatica, Salesforce, and more, Central accelerates automation across sales, marketing, operations, finance, and HR while dramatically reducing integration complexity. At its core, Central uses an event-driven, hub-and-spoke architecture—often described by customers as their enterprise “central nervous system.” Connectors continuously monitor data changes across systems using APIs, webhooks, and file-based methods, publishing events into the Central hub through a secure messaging engine enriched with referential metadata. This creates a shared, authoritative context that can be safely exposed to AI agents via the Model Context Protocol (MCP). Central connectors function as intelligent, pre-defined endpoints that filter, transform, and route data based on business rules. Without code. Multiple connectors can operate simultaneously, publishing and subscribing to events through the hub to orchestrate cross-system processes in real time. The result is a platform that is simple, efficient, highly scalable, and resilient, while remaining cost-effective to deploy and maintain. This architectural approach stands in contrast to traditional iPaaS solutions that rely on step-based workflows, batch processing, database triggers, or tightly coupled point to point API calls. As automations scale, these "spaghetti architectures" often become brittle, accumulate technical debt, and constrain AI initiatives. Central eliminates these limitations by standardizing how data, events, and context flow across the enterprise—creating a durable integration backbone that enables scalable automation today and agentic enterprise AI tomorrow.