News
Workato has unveiled the Workato Enterprise Model Context Protocol (MCP), which it calls the industry’s first enterprise-grade MCP platform designed specifically for AI agents. The new offering aims to give companies a secure, governed way to transform applications and processes into MCP servers — providing ChatGPT, Claude.AI, Amazon Q, Cursor, Google Gemini and any other AI agent with real enterprise skills.
The launch positions Workato at the center of the emerging “agentic enterprise” movement, where AI agents do more than generate text — they execute real business processes across HR, finance, marketing and IT systems.
Table of Contents
- Why MCP Matters for the Enterprise
- Partnerships With Anthropic, AWS, Atlassian and Box
- Workato Enterprise MCP Use Cases: From Recruiting to Marketing
- Key Features of Workato Enterprise MCP
- The Bigger Picture: Toward the Agentic Enterprise
Why MCP Matters for the Enterprise
The Model Context Protocol (MCP) has been gaining traction as a way for AI agents to access third-party applications and data. However, enterprises have struggled to adopt MCP at scale due to concerns around security, governance and reliability.
Most open-source MCP servers lack enterprise-grade features like:
- Access controls
- Audit trails
- Identity management.
Without these, companies risk exposing sensitive data when agents interact with corporate systems.
Workato’s Enterprise MCP addresses these concerns by delivering fully managed, composable MCP servers that IT teams can deploy instantly — removing the complexity of self-hosting or relying on untrusted open-source code.
Related Article: Inside Anthropic’s Model Context Protocol (MCP): The New AI Data Standard
Partnerships With Anthropic, AWS, Atlassian and Box
| Company | Partnership Details |
|---|---|
| Anthropic | Claude gains context-aware automation when connected through Workato’s MCP. |
| Atlassian | Rovo MCP Server combined with Workato’s platform enables secure autonomous actions across Jira and Confluence. |
| Box | AI agents can now search, analyze and extract insights across enterprise content in Box, with full governance controls. |
| Amazon Web Services | Deep integration with AWS services expands MCP’s reach across cloud infrastructure. |
Workato Enterprise MCP Use Cases: From Recruiting to Marketing
“MCP is quickly becoming the standard for how AI works with corporate applications. With Workato Enterprise MCP, organizations can instantly unlock business capabilities with AI in a secure way from day one."
- Laurent Farci
CIO at .monks & early customer
- Recruiting: Agents can finalize job offers, trigger onboarding workflows and manage payroll and identity provisioning securely.
- Marketing: Teams can use ChatGPT to analyze customer interactions, surface insights and automatically generate Outreach email sequences.
- IT and HR: Agents can handle employee onboarding, IT project management and compliance checks through governed workflows.
These examples illustrate the shift from AI as a text generator to AI as a business process executor.
Key Features of Workato Enterprise MCP
| Feature | Description |
|---|---|
| Enterprise-ready from day one | Fully managed, serverless and backed by Workato’s orchestration platform. |
| Instant MCP for any application | 100+ pre-built secure servers covering Salesforce, Workday, Okta, GitHub, AWS Bedrock and more. |
| Governed agent skills | 12,000+ connectors and 900,000 community recipes can be converted into AI-ready tools without rewriting. |
| Security-first design | Scoped tokens, rate limiting, approval workflows and full auditability. |
Workato CTO Adam Seligman said the platform solves one of the industry’s biggest problems: “MCP has shown great promise, but enterprises still face challenges making it work securely and effectively at scale. Workato Enterprise MCP changes that.”
Related Article: Vertesia Launches Secure AI Assistant for Enterprise Workflows
The Bigger Picture: Toward the Agentic Enterprise
Workato’s Enterprise MCP is part of its Workato ONE strategy — a broader vision of the “Agentic Enterprise,” where AI agents collaborate, act and continuously improve business workflows in production.
