This brings IBM Code Engine operations into your AI assistant through MCP, letting you build, push, and deploy containerized workloads without juggling CLI commands. It wraps Docker or Podman for local builds, IBM Container Registry for image management, and Code Engine REST APIs for managing projects, apps, jobs, builds, and secrets. The real win is the agentic behavior: point it at a folder and it will discover your environment, create missing pull secrets, run the full build pipeline, tail logs when deployments hang, and even fix Dockerfiles when it spots configuration mismatches. You get both individual tools for granular control and compound procedures that chain build, push, and deploy into single operations. If you're running workloads on IBM Cloud and want your assistant to handle the full DevOps loop, this is the connector you need.
claude mcp add --transport stdio markusvankempen-code-engine-mcp-server uvx code-engine-mcp-server