I turned every n8n node into a machine-readable dataset (524 nodes, free) so agents can build workflows

I have been writing agents that build n8n workflows. The hard part is not "call the n8n API and post a workflow JSON." The hard part is "pick the right node, with the right operation, with the right parameters, without hallucinating fields that do not exist."

The n8n GUI is the source of truth. The TypeScript source files are the second source of truth. Neither is a thing you can hand to an LLM at inference time.

So I extracted everything into one structured catalog and put it on HuggingFace.

524 nodes. Every operation. Every credential type. Properties schema. Free. CC-BY-4.0.

HuggingFace: automatelab/n8n-nodes-catalog

I turned every n8n node into a machine-readable dataset (524 nodes, free) so agents can build workflows

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