Hey everyone ![]()
I built an n8n node that connects directly to ProtoContext, a system that replaces classic RAG + HTML scraping.
Instead of scraping pages, chunking content and querying a vector DB, the node queries a search engine that indexes plain-text context.txt files published by websites.
These files contain clean, structured context (products, rooms, policies, APIs), so agents donβt need to guess or parse UI content.
What this gives you:
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much lower latency <30ms
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fewer tokens
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no scraping or embeddings
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faster and more reliable agent responses
n8n node:
https://www.npmjs.com/package/n8n-nodes-protocontext
Project:
https://protocontext.org/
Would love feedback from people building AI workflows in n8n ![]()