MCPInstall

n8n-self-hosting

Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on their own server/VPS/box (Hetzner, DigitalOcean, AWS EC2, bare metal, etc.) — in either single/regular mode or queue mode with workers — or to update, back up, restore, or harden such an instance. This is for SELF-HOSTED n8n (Docker), not n8n Cloud and not building workflows. The skill makes the agent ask single-vs-queue first, collect the domain/SSH/timezone inputs, generate fresh secrets on the box, and bring the stack up with TLS. Trigger on "deploy n8n", "self-host n8n", "install n8n on my server", "n8n docker compose", "n8n queue mode / workers / scaling", "n8n reverse proxy / SSL", "back up / update my n8n", or "we don't want to give every user the OAuth client secret" / "enable the Sign in with Google button" (credential overwrites).

Installs
40
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/czlonkowski/n8n-mcp --skill n8n-self-hosting
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads n8n-self-hosting automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Deploying self-hosted n8n

This skill takes a fresh Linux VM (Ubuntu/Debian, root or sudo SSH) to a running, HTTPS, production n8n via Docker Compose behind Caddy (automatic Let's Encrypt TLS). It is for self-hosted n8n on Docker — not n8n Cloud, and not for building workflows (that's the rest of this pack).

Two deployment modes. The architectures differ, so pick the mode before doing anything.

You drive this end-to-end over SSH: preflight → install Docker → lay down the project → generate secrets → launch → verify TLS → hand off. The template files live in assets/; the per-mode and security depth live in the reference files named below.

Rule 0 — choose the mode (ask the user)

Do not guess. Ask, then commit to one:

Single / regularQueue
Processesone n8nmain + N workers
Extra servicesnone (SQLite)Redis (queue) + Postgres (DB)
Executes workflowsin the main processon workers, in parallel
Good for1 user, light/moderate load, simplest opshigh volume, heavy/long executions, horizontal scale
Composeassets/docker-compose.single.ymlassets/docker-compose.queue.yml
Deep diveSINGLE_MODE.mdQUEUE_MODE.md

If unsure, start single — it's the simplest correct thing and covers most needs. Moving to queue later means swapping the compose file and migrating SQLite→Postgres, so if the user already expects real volume, start queue.

Rule 1 — secret hygiene (non-negotiable)

A misstep here leaks client credentials. Be diligent:

  1. Generate every secret fresh, on the target box. Never copy an encryption key, DB password, or .env from another n8n instance into this one. See SECURITY.md for the openssl commands.
  2. Secrets live only in .env (mode 600), referenced by the compose as ${VAR}. Never inline a secret into docker-compose.yml, the Caddyfile, or anything you commit.
  3. The N8N_ENCRYPTION_KEY is sacred. It encrypts every stored credential. If it's lost or changes, all saved credentials become undecryptable. Set it explicitly, and tell the user to back it up off the box. Don't echo it into long-lived logs or chat history beyond what's needed to hand it over.
  4. Never expose internal services. Only Caddy (80/443) is public. n8n (5678), Postgres (5432), Redis (6379) stay on the private Docker network — the templates already omit their host port mappings. Don't add them.
  5. .env and Caddy's caddy_data volume (the issued certs + ACME account key) are not artifacts to share. If you're working inside a git repo, confirm .env is git-ignored before any commit.

Inputs to collect up front

  • SSH target — user@host and how you authenticate (key path or the user confirms the agent already has access). Root or a sudo user.
  • Domain — the full hostname n8n will live at, e.g. n8n.example.com (→ SUBDOMAIN=n8n, DOMAIN_NAME=example.com). The user must control its DNS.
  • TLS email — for Let's Encrypt (SSL_EMAIL).
  • Timezone — IANA name for Schedule/Cron nodes (e.g. Europe/Warsaw), else Etc/UTC.
  • Mode — single or queue (Rule 0). Queue → confirm the box has enough RAM (rough floor ~4 GB; each worker wants ~1–2 GB).
  • Optional modules — some features (currently Agents) are backend modules that stay off unless listed in N8N_ENABLED_MODULES. Ask only if the user brings one up; if they do, read the modules section of QUEUE_MODE.md before enabling it, because in queue mode it has to reach the workers as well.

The deploy flow

Work through these in order. SINGLE_MODE.md / QUEUE_MODE.md give the mode-specific command detail; SECURITY.md covers secret generation and hardening; DAY2.md covers update/backup/restore.

1. Preflight (the cheapest failure is the one you catch here)

  • SSH in; confirm the OS is Debian/Ubuntu-like (. /etc/os-release).
  • DNS must already point at the box. Compare the box's public IP (curl -s ifconfig.me) with dig +short <fqdn> (run it from the box AND ideally your laptop). If they don't match, stop — Caddy's ACME challenge will fail. Have the user create the A record, wait for it to propagate, then continue.
  • Ports 80 and 443 must be reachable from the internet. Check the host firewall AND any cloud security group / network firewall (Hetzner Cloud, AWS SG, etc.) — these are outside the box and a common silent blocker.

2. Install Docker (if absent)

  • Check docker --version and docker compose version. If missing, install Docker Engine + the Compose plugin (Docker's official get.docker.com script on Ubuntu/Debian is fine). Re-check docker compose version before proceeding.

3. Lay down the project

  • Pick DATA_FOLDER — an absolute path, e.g. /opt/n8n. The DATA_FOLDER value in .env must equal this exact directory (the compose mounts ${DATA_FOLDER}/caddy_config/Caddyfile, and init-data.sh is mounted via a relative ./ path), so always run docker compose from here. Create it, plus caddy_config/ and local_files/ inside.
  • Get the template files onto the box. They live in this skill's assets/ on your machine, not on the server — transfer each one. Either scp them up, or (no local copy needed) write each file's contents over SSH, e.g. ssh <target> 'cat > <DATA_FOLDER>/docker-compose.yml' < assets/docker-compose.single.yml. Land them with these exact names:
    • the chosen compose → <DATA_FOLDER>/docker-compose.yml (rename it to exactly this)
    • Caddyfile → <DATA_FOLDER>/caddy_config/Caddyfile
    • queue only: init-data.sh → <DATA_FOLDER>/init-data.sh, then chmod +x it
    • the matching .env.*.example → <DATA_FOLDER>/.env

4. Fill .env + generate secrets

  • Set DATA_FOLDER, DOMAIN_NAME, SUBDOMAIN, SSL_EMAIL, GENERIC_TIMEZONE.
  • Generate each secret on the box with openssl (SECURITY.md has the commands) and write it into .env, replacing the matching REPLACE_WITH_… placeholder: N8N_ENCRYPTION_KEY; queue also POSTGRES_PASSWORD + POSTGRES_NON_ROOT_PASSWORD.
  • Before launching, confirm none are left unset: grep REPLACE_WITH_ .env must return nothing — a leftover placeholder becomes the literal password and Postgres/n8n fail to connect.
  • chmod 600 .env. Record the encryption key so the user can back it up off-box.

5. Firewall

  • ufw: allow OpenSSH + 80 + 443, then enable. Do not open 5678/5432/6379.

6. Launch

  • cd <DATA_FOLDER> && docker compose up -d.
  • Queue mode brings up Redis + Postgres + main + workers (workers via replicas). To add capacity: docker compose up -d --scale n8n-worker=N.

7. Verify (don't declare success without this)

  • docker compose ps — every service Up/healthy (queue: postgres & redis healthy first).
  • n8n itself up (internal): docker compose exec n8n wget -qO- http://localhost:5678/healthz → {"status":"ok"}. This separates "n8n is running" from "TLS isn't ready yet."
  • Cert issued: docker compose logs caddy | grep -i 'certificate obtained'. First-boot ACME can take a minute or two; until it finishes, a public https:// request fails TLS — that means the cert is still pending, not that n8n is down.
  • Public reachability (with retry): curl -fsS --retry 5 --retry-delay 10 https://<fqdn>/healthz → {"status":"ok"}. (/healthz only proves the process is reachable; /healthz/readiness additionally confirms the DB is connected and migrated — use it when debugging a boot loop.)
  • Queue mode — main and workers must agree. Diff their environments: diff <(docker compose exec -T n8n env | sort) <(docker compose exec -T --index 1 n8n-worker env | sort). Only the public-URL/proxy vars should differ. Anything else means a behavioural setting reached the main but not the workers — and workers are what execute workflows, so it fails at runtime in one node rather than at boot. QUEUE_MODE.md explains the rule.
  • Open https://<fqdn> → the owner setup screen. Whoever completes that signup form first claims the instance — an exposed un-owned instance is a race, so create the owner account immediately, before sharing the URL. Enable 2FA. (Automated deploys can pre-provision the owner via env vars instead — see the owner row in SECURITY.md.)

8. Hand off

  • Give the user: the URL, where the project lives, the encryption key to store safely, and the Day-2 basics (update / backup / restore) from DAY2.md.

What NOT to do

  • Don't skip the DNS/ports preflight. A wrong A record or a closed cloud firewall is the #1 reason Caddy can't get a cert and n8n looks "broken."
  • Don't publish 5678/5432/6379 to the host. Caddy reaches n8n over the private network.
  • Don't reuse another instance's encryption key or .env. Fresh secrets per box.
  • Don't run queue mode on SQLite. Queue requires Postgres (the template already wires it).
  • Don't put secrets in docker-compose.yml or the Caddyfile. .env only.
  • Don't add a behavioural env var to the main only (queue mode). Modules, DB, queue, binary-data and encryption settings belong in the shared x-n8n-env anchor so workers get them too; only the public-URL/proxy vars are main-only. See QUEUE_MODE.md.
  • Don't use :latest blindly. Pin N8N_IMAGE_TAG; update deliberately (DAY2.md).

Reference files

  • SINGLE_MODE.md — single-instance specifics, SQLite vs Postgres, when to graduate to queue.
  • QUEUE_MODE.md — queue architecture, workers/concurrency/scaling, shared encryption key, the main-vs-worker env-parity rule, optional backend modules (N8N_ENABLED_MODULES, e.g. Agents), binary data (database mode — filesystem is unsupported in queue mode; S3/Azure = Enterprise), webhook processors, multi-main licensing.
  • SECURITY.md — generating secrets, the encryption-key rules, the full hardening checklist (telemetry off, env-access block, public API, firewall, secure cookies).
  • CREDENTIAL_OVERWRITES.md — managed OAuth: register one OAuth app instance-wide so users never see a client ID/secret ("Sign in with Google" on self-hosted). The endpoint-vs-env choice, the mandatory endpoint auth token, parent-type inheritance, persistence and worker reload.
  • DAY2.md — changing a setting (env var) safely, updating the image, backing up (encryption key + volume + Postgres), and restoring.
  • assets/ — the templates: docker-compose.single.yml, docker-compose.queue.yml, Caddyfile, .env.single.example, .env.queue.example, init-data.sh.

Authoritative upstream reference: the official hosting docs live at https://docs.n8n.io/deploy/host-n8n (restructured mid-2026 from the old /hosting/ paths — prefer these URLs). The env-var reference index is at https://docs.n8n.io/deploy/host-n8n/configure-n8n/basic-configuration/use-environment-variables. When this skill and the live docs disagree, trust the docs and tell the user.

FAQ

What does the n8n-self-hosting skill do?

Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on their own server/VPS/box (Hetzner, DigitalOcean, AWS EC2, bare metal, etc.) — in either single/regular mode or queue mode with workers — or to update, back up, restore, or harden such an instance. This is for SELF-HOSTED n8n (Docker), not n8n Cloud and not building workflows. The skill makes the agent ask single-vs-queue first, collect the domain/SSH/timezone inputs, generate fresh secrets on the box, and bring the stack up with TLS. Trigger on "deploy n8n", "self-host n8n", "install n8n on my server", "n8n docker compose", "n8n queue mode / workers / scaling", "n8n reverse proxy / SSL", "back up / update my n8n", or "we don't want to give every user the OAuth client secret" / "enable the Sign in with Google button" (credential overwrites).

How do I install n8n-self-hosting?

Run npx skills add https://github.com/czlonkowski/n8n-mcp --skill n8n-self-hosting in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/n8n-self-hosting/ (personal) or .claude/skills/n8n-self-hosting/ (project).

Which AI agents can use n8n-self-hosting?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is n8n-self-hosting safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains n8n-self-hosting?

It is published by czlonkowski in czlonkowski/n8n-mcp. It has 40 recorded installs.

More from czlonkowski/n8n-mcp

View all →

n8n-validation-expert

czlonkowski/n8n-mcp

Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, the validation loop process, or auto-fix capabilities. Consult this skill whenever a validatenode or validateworkflow call returns errors or warnings — it knows which warnings are false positives and which errors need real fixes.

AI & Agents89 installs

n8n-workflow-patterns

czlonkowski/n8n-mcp

Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, or scheduled tasks. Always consult this skill when the user asks to create, build, or design an n8n workflow, automate a process, or connect services — even if they don't explicitly mention 'patterns'. Covers webhook, API, database, AI, batch processing, and scheduled automation architectures. Also use when optimizing a slow workflow or speeding up large-item-count processing (node count, batchSize, all-items vs per-item).

n8n-node-configuration

czlonkowski/n8n-mcp

Open the skill to read its SKILL.md instructions.

AI & Agents87 installs

n8n-code-javascript

czlonkowski/n8n-mcp

Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node errors, choosing between Code node modes, or doing any custom data transformation in n8n. Always use this skill when a workflow needs a Code node — whether for data aggregation, filtering, API calls, format conversion, batch processing logic, or any custom JavaScript. Covers SplitInBatches loop patterns, cross-iteration data, pairedItem, and real-world production patterns. Also use when asked why a Code node or workflow is slow, which execution mode is faster, or how to cut per-item overhead on large datasets. EXCEPTION — for the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode, a tool attached to an AI Agent), use the n8n-code-tool skill instead; it has a different runtime contract.

AI & Agents86 installs

n8n-mcp-tools-expert

czlonkowski/n8n-mcp

Open the skill to read its SKILL.md instructions.

AI & Agents86 installs

n8n-code-python

czlonkowski/n8n-mcp

Write Python code in n8n Code nodes. Use when writing Python in n8n, using input/json/node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically requests Python for an n8n Code node. Note — JavaScript is recommended for 95% of use cases — only use Python when the user explicitly prefers it or the task requires Python-specific standard library capabilities (regex, hashlib, statistics). EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is query, return must be a string).

AI & Agents85 installs

Popular devops & cloud skills

View category →

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

OfficialDevOps & Cloud579.1K installs

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

OfficialDevOps & Cloud569.8K installs

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

OfficialDevOps & Cloud569K installs

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

OfficialDevOps & Cloud568.8K installs

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs