Workato has unveiled Workato Enterprise Model Context Protocol (MCP), the industry’s first enterprise-grade MCP platform designed to securely and efficiently enable AI agents to execute real business tasks across enterprise systems. The new platform allows organizations to quickly transform applications and workflows into governed, secure MCP servers, giving AI agents like Claude, ChatGPT, Amazon Q, Cursor, and Google Gemini the ability to access relevant data and perform actions within enterprise environments. Enterprises are eager to adopt AI agents but face major hurdles in ensuring security, governance, and reliability. While numerous open-source MCP servers exist, they often lack essential enterprise features such as identity management, access control, audit trails, and system integration. Many organizations also struggle with the complexity of self-hosting and managing untrusted code, which can compromise security and slow deployment. Workato Enterprise MCP solves these challenges with a fully managed, serverless solution that eliminates the need for infrastructure maintenance or untrusted code. It integrates seamlessly with existing applications and processes, offering built-in security, observability, and governance. IT teams gain full visibility and control, while AI agents deliver consistent, reliable outcomes at scale. The platform is designed to work instantly with major AI agents and enterprise systems. It supports 100 pre-built, secure MCP servers for platforms including Atlassian, Box, Salesforce, Workday, Okta, Shopify, Zendesk, Stripe, NetSuite, GitHub, AWS Bedrock, and custom APIs. Organizations can also turn existing Workato workflows—powered by over 12,000 connectors and 900,000 community recipes—into secure, AI-ready skills without rewriting them. Workato has partnered with Anthropic, Amazon Web Services, Atlassian, and Box to ensure customers can leverage MCP with maximum trust and speed. For example, Anthropic noted that Workato’s MCP enhances Claude’s ability to deliver intelligent, context-aware automation. Atlassian highlighted how the integration enables autonomous actions across Jira and Confluence with enterprise-grade security. Box emphasized that the combination allows AI agents to search, analyze, and extract data from enterprise content securely. Real-world use cases demonstrate the platform’s impact. In HR, an AI agent can manage end-to-end employee onboarding by verifying eligibility, enrolling in payroll, provisioning SSO access, and assigning a buddy—without human intervention. In marketing, agents can analyze closed-won deals, review customer calls in Gong, and automatically generate optimized outreach sequences using ChatGPT. Enterprise leaders are already seeing value. Laurent Farci, CIO at .monks, said Workato Enterprise MCP enables the company to rapidly transform business processes into AI-ready services with confidence, accelerating operations across sales, HR, and IT. Key advantages of the platform include instant deployment of secure MCP servers, full integration with enterprise identity and access controls, support for rate limiting and exactly-once delivery, and comprehensive audit trails. The platform is built on Workato’s proven orchestration engine, trusted by Fortune 500 companies. Adam Seligman, Workato’s CTO, said the platform addresses the gap between MCP’s promise and real-world enterprise execution. “We’re giving enterprises the first-of-its-kind solution to safely deploy AI agents at scale, turning core business processes into AI-ready capabilities from day one.” Workato Enterprise MCP is now available as part of Workato ONE, advancing the vision of an “Agentic Enterprise” where AI agents collaborate, act, and improve in production. The platform builds on previous innovations like Workato Genies, the Action Board, and a developer sandbox for community adoption. For more information or to request access to the developer sandbox, visit Workato’s website.