AI is quickly becoming the interface for how work gets done. Privacy teams must not be left behind.
That’s why we’re launching the DataGrail MCP Server, the first production-ready Model Context Protocol server for privacy.
More than a new feature release, this unlocks the power of AI workflows for privacy operations while maintaining the security and governance that other solutions lack.
The DataGrail MCP Server is currently in initial availability and is included for all DataGrail Enterprise Plan customers.
Enabling Secure, Governed AI Orchestration for Privacy
In order to keep up with increasing demands, advanced privacy teams are exploring how AI tools like Claude Code and OpenAI Codex can help expand their impact and automate complex workflows.
The challenge is that adding AI to privacy work can introduce unique governance and security risks that make responsible adoption difficult.
Enter the DataGrail MCP Server: a secure, governed way to extend DataGrail with third-party AI workflows.
This is not about experimentation or dev tools. It’s about enabling production-grade AI orchestration across privacy operations, with the control enterprise teams demand.
Built on DataGrail’s No-Compromise Security Framework
Model Context Protocol, or MCP, was introduced by Anthropic and is quickly becoming the standard for how AI tools securely interact with third-party systems. Sometimes described as an “API for AI,” the MCP functions as the two-way connective layer that allows agents to take action across platforms in a governed way.
In addition to the core benefits associated with using an MCP, The DataGrail MCP Server is built natively on DataGrail’s No-Compromise Security Architecture, providing:
- Single-tenant isolation
- Zero training on customer data
- Human-governed actions with strict permission controls
Our core-engineering philosophy has always been responsible innovation, and the DataGrail MCP Server is no exception.
Third-party AI capabilities powered via the DataGrail MCP Server are intentionally scoped and human supervised. No irreversible actions, no uncontrolled automation, and Super admins must define which tools and actions are available to users and AI clients.
As a result, you get the power of AI orchestration with the reassurance of enterprise governance.
To learn more, read the docs.
What This Unlocks for Privacy Teams
The DataGrail MCP Server provides a standards-based way to securely extend your privacy program into the tools where your business already operates.
While the potential applications of this technology are limitless, a few potential use cases include:
- Push DataGrail ticket analytics and custom reports to Tableau to communicate privacy ROI in real time
- Build agents that listen for new contract entries, create systems in DataGrail, trigger assessments, and pre-fill documentation
- Kick off security reviews when DataGrail detects new a sensitive data processing risk
- Update Jira or ServiceNow with live DataGrail ticket status
For privacy leaders, this means:
- Turning privacy from a static compliance function into a connected operational system
- Demonstrating measurable business impact
- Extending privacy directly into cross-functional workflows
- Meeting increasing privacy demands without adding headcount or sacrificing control
For organizations investing in AI infrastructure, the DataGrail MCP Server unlocks new possibilities across procurement, engineering, reporting, and compliance workflows.
We’re Leading the Future of Agentic Privacy
DataGrail exists to transform how businesses scale privacy operations and eliminate business risk. The DataGrail MCP Server is a major step in extending that mission into the agentic AI era, and we’re just getting started.
Coming soon, the DataGrail MCP Server will underpin and extend the power of our native AI agent, Vera. If you want to get a sneak peek of what Vera can do – Let’s talk.
If you’re a DataGrail customer interested in the DataGrail MCP Server, contact your DataGrail representative.
