Hey everyone! I just published a live demo showing an AI agent that designs and deploys complete N8N workflows from one promptâno manual node wiring.
What I cover:
- Voice or text prompting via Telegram to brief the agent
- End-to-end build: RSS â HTTP fetch â LLM summarize â Gmail send
- How the N8N MCP (Model Context Protocol) lets the agent read node docs & call the right tools
- Automatic cost + token tracking in Google Sheets (duration, model, spend)
- Setup steps, required creds, and self-hosted N8N note for the MCP community node
- Real constraints & failure modes (and how to work around them)
Key findings:
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You can go from idea â working workflow in ~3 minutes
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Hands-off deployment: the agent returns a direct workflow URL inside your N8N
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Transparent costs: my demo run was ~$0.40â$0.50 for a full build (Shoutout to @nateherk for the costing idea)
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Best results with flagship models (e.g., GPT-4.1 / GPT-5); minis often break schemas
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Using MCP inside N8N beats paying for separate desktop MCP connectors long-term
Caveats (read this):
â ď¸ Great for simple, automations (Sheets/Gmail/triggers).
â ď¸ Complex, multi-branch SDRs or heavy repurposing pipelines still need human oversight.
â ď¸ Stick to supported tools & strict schemas to avoid the âexpected input did not matchâ errors.
Free stuff(in the video description):
đ Complete template pack (main workflow + deploy subworkflow + duration calc)
đ Google Sheets tracker for tokens, model, run cost
If youâre building client automations, this is a force multiplier for rapid prototyping and deliveryâwithout ballooning tool costs.
đ Have you tried the N8N MCP yet? What would you have it build first?