Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files

LucidLink Corp., the maker of a cloud network-attached storage system based on object storage technology, today extended its distributed file system technology into agentic artificial intelligence with the public beta release of a Model Context Protocol server that lets AI agents access shared files across clouds, on-premises systems and edge environments.

The company said its LucidLink MCP server connects any MCP-compatible agent or orchestrator to a LucidLink filespace. The goal is to give multi-agent systems a persistent, writable layer with a shared state so agents, applications and humans can work from the same files without repeatedly copying or moving data.

LucidLink said the data movement problem is becoming more urgent as enterprises go beyond single-agent demonstrations into production workflows involving multiple agents and human reviewers. In those settings, the company said, the problem is no longer simply connecting an agent to a tool or data source, but preserving context, outputs and working state across sessions, nodes and frameworks.

“For the past 10 years, we’ve been solving distributed data challenges for teams who had to collaborate on shared assets,” said co-founder and Chief Executive Peter Thompson. But as the company saw customers beginning to connect agents to the same systems used by distributed human teams, they needed “shared, persistent context” in files that often live somewhere other than where the agents were running.