CTERA has introduced native support for the Model Context Protocol (MCP), making it the first hybrid cloud platform to integrate an MCP Server for secure AI connectivity. This advancement enables organizations to link large language models (LLMs)—such as Claude, AI development tools like Cursor, and in-house AI agents—directly to private data, all while maintaining strict security and compliance standards.
MCP – a new open standard developed by Anthropic – enables AI models to securely access enterprise data and applications. Until now, connecting LLMs to private files meant sacrificing control or building custom integrations. MCP solves this by providing a structured, permission-aware interface.
CTERA has embedded this new capability into the CTERA Intelligent Data Platform, enabling users to look up, summarize, retrieve, manage, and create files using natural language, all while enabling IT and security teams the ability to maintain full control over access, auditing, and encryption.
“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.”
With the integration of MCP into the CTERA Intelligent Data Platform, users can automate routine file management tasks and eliminate the need for tedious folder navigation or coding skills, allowing users to leverage AI-driven actions to drive productivity efficiencies. Acting as a secure, standardized conduit, MCP seamlessly connects LLMs with enterprise systems to facilitate these advanced capabilities.
