The ZenML MCP server acts as a smart bridge that allows AI assistants to understand and interact with machine learning workflows. Think of it as a translator that lets an AI look into a project’s machine learning "factory" to see what is being built, which tools are being used, and whether everything is running smoothly. Instead of manually checking a dashboard, developers can simply ask their AI assistant for updates on their models and data pipelines. For those managing complex MLOps environments, this tool provides deep visibility into the ZenML ecosystem. It exposes a wide range of metadata, including pipeline configurations, stack components, and artifact details. The server can even retrieve specific step logs and source code, enabling an AI…