Workato Plugs In the Enterprise: New MCP Servers Give AI Agents Safe Access to 1,000+ Apps

Workato, the leading enterprise orchestration platform, today announced the general availability of its production-ready Model Context Protocol (MCP) servers. The launch marks a pivotal moment in the "Agentic Enterprise" movement, providing a standardized, secure bridge that allows AI agents—like Claude, ChatGPT, and Cursor—to move beyond simple conversation and execute complex, multi-step business processes across an organization's entire tech stack.

By adopting the open MCP standard originally proposed by Anthropic, Workato is effectively providing a "universal adapter" for AI, allowing models to discover and use enterprise tools without the need for brittle, custom-coded integrations.

1. Eliminating the "Custom Integration" Tax
The primary barrier to deploying AI agents at scale has been the difficulty of connecting them to internal data and systems safely. Workato’s new production-ready servers solve this by:

Pre-Built Connectivity: Launching with over 100 managed MCP servers for major applications including Salesforce, Workday, NetSuite, Zendesk, and Snowflake.

Instant Skill Conversion: Organizations can now turn their existing Workato "recipes" (automated workflows) into MCP-compatible skills with zero rework. This means a legacy onboarding workflow can instantly become a "skill" that an AI agent can call upon.

Tool Discovery: Using the MCP standard, AI agents can "interrogate" the Workato server to see which tools are available, understand their input requirements, and execute them autonomously.

2. The "Governed Runtime" Advantage
Unlike open-source or DIY MCP implementations that can pose security risks, Workato’s Enterprise MCP is built on a governed runtime designed for the modern CISO.

Verified User Access: The platform supports OAuth-based authentication, meaning when an agent performs an action (like looking up a Jira ticket), it does so using the specific user's credentials—respecting all existing permissions and roles.

Granular Guardrails: Administrators can define exactly which "skills" an agent can see. An HR bot can be given the power to "View Job Description" but restricted from "Modify Salary" without manual approval.

Full Auditability: Every action taken by an AI agent is logged with a clear identity trail, ensuring compliance and transparency for regulated industries.

3. A Strategic Ecosystem: Anthropic, AWS, and Beyond
Workato isn't building in a vacuum. The launch is supported by deep strategic partnerships that ensure these agents work where developers and business users already are.

Model Agnostic: While optimized for Anthropic’s Claude (the first to champion MCP), the servers are compatible with any model that supports the protocol, including OpenAI’s GPT series and Google’s Gemini.

Atlassian & Box Integration: Workato has worked closely with partners like Atlassian (Rovo) and Box to ensure their specific MCP servers are fully governed and "production-ready" through the Workato gateway.

4. Real-World Impact: From Months to Minutes
Early adopters are reporting significant reductions in the time it takes to move AI from "experiment" to "execution."

The Atlassian Transformation: By using Workato’s orchestration layer, Atlassian reportedly completed a massive ERP transformation 40% faster than anticipated, managing over 70 new integrations via an agentic framework.

"The New iPad for Agents": Industry analysts are calling MCP the "connective tissue" of 2026, comparing its impact on AI agents to what the App Store did for smartphones—creating a standard marketplace for capabilities.

Executive Insight: "MCP has shown great promise, but enterprises still face challenges making it work securely at scale," said Adam Seligman, CTO of Workato. "Workato Enterprise MCP changes that by bringing the full spectrum of business processes to AI agents through governed, pre-built skills. We're giving global enterprises the first-of-its-kind solution to safely execute real work at scale."