AI-powered interface for Kubeflow Training via MCP, enabling AI assistants to manage distributed training jobs, fine-tune LLMs, and monitor workloads on Kubernetes through natural language.
Getting started
Add Kubeflow MCP Server to your MCP-capable client — Claude Code, Cursor, Codex, and others — by following the setup at the source, which documents the exact command, configuration, and any required API keys.
