In a move that sets a new benchmark for hybrid cloud platforms, CTERA has become the first hybrid cloud storage and cloud hosting solution to natively support Anthropic’s Model Context Protocol (MCP)—a recently introduced open standard from AI research company Anthropic. MCP is designed to let large language models (LLMs) securely interact with enterprise systems and data. With this announcement, CTERA became the first hybrid cloud storage provider to build MCP directly into its platform. With native MCP support, CTERA offers secure AI access to enterprise data—without giving up control or compliance.
Meeting the Growing Need for Secure AI Integration
As more organizations begin to adopt AI tools across their workflows, the challenge of securely connecting those tools to private company data has become more urgent. CTERA addresses that need by embedding an MCP Server into its hybrid cloud infrastructure.
This means enterprise teams can now allow AI assistants—like Claude, AI coding environments, and custom internal agents—to pull and work with sensitive files without exposing data or breaking compliance rules.
Previously, getting LLMs to work with internal data often meant building custom integrations or risking a loss of control. MCP solves that, offering a standardized, structured interface that enforces permissions and governance.
“This launch is a major step toward an agentic enterprise where LLM-based assistants work seamlessly with an organization’s internal data,” said Aron Brand, CTO at CTERA. “We’re giving their teams a secure and intelligent way to enable real-time decisions, faster workflows, and new kinds of automation without introducing security and compliance challenges to the business.”
How MCP Works Within CTERA’s Intelligent Data Platform
With MCP now built into the CTERA Intelligent Data Platform, users can do much more with their files—just by using natural language.
From retrieving and summarizing documents to managing or even creating them, the platform now allows AI to handle everyday file tasks automatically. No more clicking through folders or writing scripts—AI takes over the routine work, while IT teams still retain full control over who can do what, along with complete audit visibility and encryption protection.
By offloading repetitive file operations to AI, teams free up time while staying within the guardrails of enterprise security.
What Is MCP, Exactly?
Developed by Anthropic, MCP is a newly defined standard that gives AI models a safe and scalable way to talk to enterprise systems in plain language. Whether it’s accessing file storage, customer records, support tickets, or analytics dashboards—MCP lets models interact naturally, while sticking to strict authorization rules.
That means models can:
- Ask questions about enterprise data
- Perform approved actions
- Keep context across systems and workflows
In explaining the need for MCP, Anthropic points out that while AI models have advanced rapidly, they often operate in isolation—cut off from the real data they need to be useful.
“As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances in reasoning and quality,” Anthropic notes. “Yet even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. Every new data source requires its own custom implementation, making truly connected systems difficult to scale.”
MCP removes that friction, offering a plug-and-play framework to connect AI agents with existing business systems securely and consistently.
CTERA Joins the AI-Security Momentum
This integration reflects a bigger shift happening across the tech world: companies are no longer just experimenting with AI—they’re actively integrating it into mission-critical operations. And as they do, security and control are non-negotiable.
CTERA’s adoption of MCP puts it ahead of the curve, giving organizations a reliable way to adopt AI assistants without letting go of governance. It also aligns with efforts from other forward-looking companies—such as Snyk Labs, which recently introduced Snyk Studio, a platform that lets partners integrate its security tools into AI development workflows using Snyk’s own MCP server. With its MCP support now live, CTERA is helping enterprises build AI-powered automation workflows on a foundation of compliance, control, and trust—bringing the vision of a secure, intelligent hybrid cloud a step closer to reality.
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