Workato, a leader in Enterprise Model Context Protocol (MCP), has officially announced the launch of its production-ready MCP servers, marking a major step toward helping enterprises move AI initiatives beyond limited pilot stages. With this release, Workato aims to eliminate the integration challenges that often prevent organizations from deploying AI at scale.
To begin with, the company has introduced an initial set of eight MCP servers across key business areas such as communication, productivity, sales, and IT operations. Moreover, Workato has ambitious plans to expand this offering significantly, with over 100 servers expected to roll out throughout the year.
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Although enterprises are investing heavily in AI, many continue to struggle with taking AI solutions into full production. While AI agents can easily handle tasks like chatting or summarizing information, they often lack the deeper business context and system-level access required to perform meaningful actions.
When Anthropic introduced MCP in 2024, it established an industry-standard protocol to connect AI with enterprise systems. However, simply having a protocol is not enough. Companies still need reliable, secure, and production-grade infrastructure to support AI deployment. Without it, many enterprises remain stuck in what is often described as “pilot purgatory.”
Production-ready infrastructure includes enterprise-grade security, role-based access controls, audit logging, high availability with 99.9% uptime, and dedicated professional support. Unfortunately, this infrastructure gap has cost organizations millions, forcing them to either build custom MCP servers internally or wait for fragmented vendor-specific solutions.
Unlike individual SaaS vendors offering isolated approaches, Workato provides a unified platform that ensures consistent security, composable workflows across systems, and centralized governance.
“What holds back AI in the enterprise is the ability to get to business data and drive action. Enterprises need Enterprise MCP to make their AI deliver results, but hardened with the security and governance they need,” said Adam Seligman, Chief Technology Officer, Workato. “We’re delivering over 100 pre-built MCP servers this year, and the ability to take any skill in Workato and make it a tool in an MCP server. Our customers are using this to bring their existing applications, business processes, and data to their AI agent projects. This is what Workato Enterprise MCP delivers.”
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First Eight MCP Servers Released
Workato’s first rollout includes pre-built servers for:
- Google Calendar
- Google Sheets
- Google Directory
- GitHub
- Gong
- Slack
- Jira
- Okta
These servers can be deployed within minutes, with compliance, access control, and enterprise security built in from day one. Additionally, Workato hosts and maintains the infrastructure, removing the burden of setup, key management, and ongoing maintenance.
As a result, organizations can seamlessly connect workflows from retrieving customer context and scheduling meetings to updating systems of record without writing custom code.
Workato Enterprise MCP, introduced in October, further strengthens this vision by enabling AI agents like Claude, ChatGPT, and Cursor to operate safely and efficiently across enterprise environments.
“MCP is a big focus for enterprises right now,” said Kevin Wolf, Senior Director of IT Operations, Swanson Health. “In the past, it required a lot of deep programming and development to make agentic AI possible. MCP lowers that barrier, allowing AI to talk and adapt directly with APIs and underlying systems. Workato’s MCP gives agentic AI a broader, governed awareness of what data it can access and how to use it. That makes the process more robust and intuitive.”
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