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How to self-host n8n with Docker in 5 minutes with n8n

Run n8n in one Docker container with a persistent volume and open the editor in your browser.

Short answer: Install Docker; then create a volume: docker volume create n8n_data; start n8n: docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n. All steps.

Remote script. The get.n8n.io install script runs code fetched from the internet; the docker run command is the transparent alternative.

Who it is forAnyone who wants workflow automation without per-task cloud pricing or sending data to a third party.

The problemHosted automation tools charge per run and keep your credentials on their servers.

The outcomeThe n8n editor running at localhost:5678 with your workflows saved in a Docker volume.

What you need first

  • Docker for the self-hosted quick start
  • Accounts or API keys for the apps and models you connect

Steps

  1. Install Docker
  2. Create a volume: docker volume create n8n_data
  3. Start n8n: docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n
  4. Open the editor at http://localhost:5678 and create the owner account
  5. Or use the install script curl -fsSL https://get.n8n.io | sh

Prompt for your agent

Self-host n8n-io/n8n with Docker on this machine using a named volume, confirm the editor loads on port 5678, and tell me how to back up the n8n_data volume.

Caveat.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for n8n-io/n8n and "Self-host n8n with Docker in 5 minutes"

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claude mcp add --transport http deduped https://dedupedai.com/mcp

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