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Reviewed and published by trentmaziarz, March 22, 2026. Discovered and drafted by our automated research pipeline.
Nasuni offers open-source software tools that allow AI agents — software programs that can take actions autonomously, like a virtual assistant that can actually perform tasks rather than just answer questions — to securely access and work with files stored in Nasuni. Using an open standard called Model Context Protocol (MCP), these tools let AI agents search, read, and manage enterprise files. The initial open-source tools were announced in October 2025; a full commercial product called AI Activate entered invite-only preview in April 2026 with general availability planned for Q4 2026.
Details
Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how AI agents connect to and interact with external tools and data sources. Nasuni released a Desktop MCP Server and a Management MCP Server through its Nasuni Labs GitHub repository in October 2025, allowing customers to use AI agents to interact with files and administer Nasuni infrastructure using natural language. In April 2026, Nasuni announced AI Activate — a formal product extending the Nasuni platform to AI agents and large language models with the same permission-aware access controls that human users receive, eliminating the need for separate data pipelines or duplicate datasets. AI Activate entered an invite-only preview in Q2 2026 with general availability scheduled for Q4 2026. Validated use cases cited by Nasuni include document processing for legal and compliance workflows, pharmaceutical regulatory file management, and project file organization for engineering firms.
Products affected
Nasuni Desktop MCP ServerNasuni Management MCP ServerNasuni Labs (GitHub)Nasuni Data ServiceNasuni File Data PlatformAI Activate
Sources & Evidence
News Article
Company Disclosure
Other practices by Nasuni
OtherNasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product.OtherNasuni is developing a capability where large language models would analyze detailed records of how files are being accessed and written across its platform, then suggest or apply changes to improve storage efficiency and reduce cost. As of early 2026, this remains under active development — described by Nasuni executives but not yet shipped as a generally available product.ProductivityNasuni provides guidance and technical tools that allow its customers to build their own AI chatbots — using Microsoft Copilot Studio — that can answer questions based on files the company already stores in Nasuni. Nasuni also built its own internal chatbot called "Ask Nasuni," which runs inside Microsoft Teams and allows employees to ask questions answered by the company's own documents. This guidance was released in April 2024.
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