Key Takeaways:

• CTERA has become the first hybrid cloud storage provider to natively support the Model Context Protocol (MCP), a standard developed by Anthropic for securely connecting LLMs to enterprise data.
• The integration enables AI assistants and agents to access, summarize, and manage files using natural language without compromising compliance, encryption, or audit control.
• MCP support empowers real-time automation, streamlined workflows, and secure, standardized data access for enterprise AI.

CTERA, a leader in enterprise data services, announced today that it now natively supports the Model Context Protocol (MCP), marking a significant step forward in enabling secure, real-time access to enterprise data by large language models (LLMs) and AI agents. The integration positions CTERA as the first hybrid cloud storage platform to embed an MCP server directly into its architecture. The news follows last year’s $80M in Funding to Enhance Hybrid Cloud Data Management.

Developed by Anthropic, MCP is a new open standard that allows AI systems to retrieve, generate, and manage enterprise files in a permission-aware and auditable manner. Unlike previous approaches that often required custom connectors or risked violating security controls, MCP delivers a standardized and compliant method to extend LLM capabilities to internal data.

“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 of 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.”

By embedding MCP support directly into its Intelligent Data Platform, CTERA allows users to perform file management tasks using natural language—from retrieving documents to summarizing content or even creating new files. The platform ensures that these actions are governed by enterprise-grade access controls, encryption standards, and audit trail logging.

This integration is designed for organizations adopting AI-powered tools such as Claude, AI development environments like Cursor, or internally developed agents. Through MCP, these tools can now interact with enterprise file systems securely and in real time, improving their value in tasks like IT operations, knowledge management, legal review, and customer support.

IT and security teams retain full oversight of these interactions. Access permissions, file encryption, and usage auditing remain under centralized control, allowing companies to deploy generative AI capabilities without exposing themselves to new risks or compliance gaps.

The update also enhances productivity by automating common data interactions. Instead of navigating folder trees or using manual scripts, users can simply ask AI agents to fetch documents, summarize updates, or initiate workflows—all while remaining within enterprise security policies.

The move reflects a broader trend in enterprise AI adoption: organizations are looking for secure, standards-based ways to bring LLMs closer to operational data. MCP’s structured, open interface addresses that need while aligning with the governance expectations of IT departments.

With this launch, CTERA is positioning itself at the intersection of hybrid cloud storage and AI-driven automation, signaling that enterprise data platforms must now support not just storage and protection—but also intelligent access and integration.

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Rich Tehrani serves as CEO of TMC and chairman of ITEXPO #TECHSUPERSHOW Feb 10-12, 2026 and is CEO of RT Advisors and is a Registered Representative (investment banker) with and offering securities through Four Points Capital Partners LLC (Four Points) (Member FINRA/SIPC). He handles capital/debt raises as well as M&A. RT Advisors is not owned by Four Points.

The above is not an endorsement or recommendation to buy/sell any security or sector mentioned. No companies mentioned above are current or past clients of RT Advisors.

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