Workato has officially launched its Enterprise MCP Registry, a strategic addition to its Enterprise AI Control and Execution Platform designed to serve as a centralized, governed system of record for Model Context Protocol (MCP) servers across the modern corporation. Operating as a neutral and extensible repository, the new infrastructure allows IT and engineering departments to seamlessly build, discover, secure, and manage AI capabilities from any vendor, preventing the operational silo bottlenecks that typically arise when individual teams deploy fragmented versions of identical servers. Alongside the core registry framework, the company is rolling out an extensive catalog of over 60 production-ready Enterprise MCP servers spanning critical operational domains—including CRM, finance, customer support, and IT operations—which expose deterministic “Enterprise Skills” rather than raw, complex API architectures.
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By encapsulating complicated multi-system orchestrations, compliance validations, and logic retries directly into these reusable operations, enterprises can drastically lower token costs and eliminate the engineering overhead associated with training AI models to autonomously navigate low-level system code. Commenting on the infrastructure layer necessary to transition autonomous systems from experimental pilots to true business execution engines, Bhagat Nainani, Chief Product Officer at Workato, emphasized: “MCP is becoming the standard way AI systems interact with enterprise software, but protocols alone can’t run your business. You need a platform. As AI adoption accelerates, organizations need more than a protocol. Workato’s Enterprise MCP Registry provides that foundation, allowing customers to scale AI safely while focusing their engineering effort on solving business problems instead of rebuilding infrastructure every team already needs.”
