VergeIO announced Verge CLI, a complete command-line interface for VergeOS that turns a leading VMware alternative into an AI-powered platform. Alongside the CLI, VergeIO is releasing an MCP server built on the open Model Context Protocol and a set of agent skills. Together they let agentic AI platforms, including Anthropic’s Claude Code and OpenAI’s Codex, work with a customer’s VergeOS environment directly, building networks, deploying workloads, and diagnosing faults in plain language, with the administrator deciding what the assistant runs on its own and what needs their approval.
VergeOS has always been API-first, so Verge CLI was a natural extension of the company’s development philosophy. The interface maps to the full VergeOS API, so one command set covers compute, storage, networking, and data protection. That command set is the hands an AI platform uses to act, and a set of agent skills supplies the know-how to drive it. Claude Code or Codex reads the environment, proposes the work, and runs it within the limits the administrator sets. Infrastructure that used to mean per-core VMware licensing now takes direction in plain language.
The MCP server is built on the Model Context Protocol, an open standard, so any compatible client works rather than a single vendor’s assistant. Teams with privacy or security requirements run a local open-weight model, such as Llama, Qwen, or DeepSeek through a runtime like Ollama, and keep every operation and all environment data on their own infrastructure.
Larry Ludlow, Chief Architect of Verge CLI, VergeIO
The agent reasons against VergeOS documentation through the MCP server, so its diagnoses come from how the platform actually works, not a model’s guess. Because one API spans compute, storage, and networking, it traces a fault across the whole stack that tooling stitched across separate products would miss.
