MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Generate production-ready Python and AI stacks by combining frameworks, data engines, tooling, and cloud deployment.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.