New capabilities let SaaS vendors expose multi-step agent skills securely and at scale, without refactoring code.
The News
Workato announced the availability of Workato Enterprise MCP for SaaS platforms, extending its agentic orchestration capabilities to enable software vendors to make their products agent-ready without rewriting applications or APIs.
The solution turns existing workflows and integrations into multi-step agent skills that can be invoked by any LLM-based agent including ChatGPT, Claude, Gemini, and Cursor. By leveraging Workato’s integration platform-as-a-service (iPaaS) foundation, Enterprise MCP provides secure, governed connectivity to more than 10,000 enterprise systems, giving AI agents the ability to execute complex business processes safely and contextually.
Workato positions Enterprise MCP as the next evolution of its Agentic Enterprise strategy by connecting integrations, orchestration, and AI automation into a unified, secure platform. This approach aims to address a key industry challenge of enabling AI agents to move beyond insight generation into trusted, auditable action.
Turning SaaS Platforms Into Agentic Ecosystems
Most AI agents today remain confined to observation; producing outputs but lacking the authority, context, or trust to act autonomously. Workato’s Enterprise MCP addresses this gap. By transforming existing automations into callable, multi-step agentic skills, the platform allows AI agents to participate in real enterprise workflows governed by security, authentication, and compliance layers.
This development aligns with theCUBE Research’s 2025 findings that 74% of enterprises cite “governance and trust” as the primary barrier to AI operationalization, even as 71% have deployed AI or AIOps tools in production environments. Enterprise MCP’s “no-code agent enablement” approach lowers the adoption barrier by embedding orchestration and governance directly into SaaS ecosystems while bridging innovation with accountability.
Agent-Ready SaaS as the Next Platform Paradigm
Workato’s move highlights a defining trend in enterprise applications where we’re shifting from app-centric to agent-ready architectures. Rather than forcing vendors to rebuild APIs, Enterprise MCP lets SaaS companies expose their core platform value to external AI agents through secure, pre-defined actions.
This aligns with Efficiently Connected’s broader observation that enterprises increasingly favor composable, open ecosystems, with 57% of organizations preferring modular platforms that can connect to third-party agents and systems. In this context, Workato’s MCP acts as the connective tissue between SaaS functionality and the emerging layer of autonomous digital collaborators.
Governance and Observability as Core Differentiators
By combining unified authentication, role-based access control, and full audit trails, Workato extends traditional iPaaS security into the agent era. The ability to monitor every agent interaction through a single observability plane provides enterprises with deterministic trust which is a critical requirement as AI automation enters regulated domains.
This approach echoes a growing consensus across enterprise architecture where AI must be integrated into existing governance models rather than operating outside them. Workato’s blend of observability, access control, and identity management positions it as a pragmatic bridge between innovation and risk mitigation.
Competitive Positioning in the Agentic Infrastructure Race
The launch of Enterprise MCP also reflects a competitive inflection point in the agent enablement space. Vendors like OpenAI (with MCP), Anthropic, and Google are introducing open agent frameworks, yet Workato differentiates itself by embedding these frameworks within a proven enterprise integration platform.
This distinction matters. While open-source MCP frameworks focus on connectivity, Workato adds enterprise-grade reliability, scalability, and governance which allows SaaS vendors to safely participate in the agentic ecosystem without introducing new infrastructure complexity. For SaaS companies, this means faster time-to-market and a smoother path to monetizing agentic capabilities.
Looking Ahead
The release of Workato Enterprise MCP underscores a major shift in how enterprise applications will evolve in the age of agentic AI. As organizations adopt multi-agent workflows, success will hinge on secure interoperability between agents and business systems; a problem Workato is positioning itself to solve at scale.
Over the next 12–18 months, expect to see a convergence between integration platforms, workflow orchestration, and AI agent frameworks, blurring the boundaries between application logic and autonomous execution. For SaaS vendors, Enterprise MCP represents not just a new capability, but a strategic blueprint for remaining embedded in customers’ AI-driven workflows.
As agentic ecosystems mature, vendors that enable secure, governed action, not just insight, will define the next chapter of enterprise software.

