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n8n

Source-available workflow automation platform for self-hosted integrations, AI workflows, triggers, and data pipelines.

by n8n·added 2026-04-27·
HarnessCLI
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://docs.n8n.io, https://github.com/n8n-io/n8n, https://n8n.io
Brand
n8n
Brand domain
n8n.io
Brand asset source
brandfetch
Author
n8n
Claim status
unclaimed
Last verified
2026-04-27

Decision playbook

Ready to evaluate for your workflow

Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.

Required checks are still incomplete. Finish source and safety verification before adopting this resource.

Compare context
Selected

0

Current score

68

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as first-party.

    Done
  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Required checks missing

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    No safety notes listed.

    Pending
  • Privacy notes presentRequired

    No privacy notes listed.

    Pending
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

Copy & paste

Copy-ready — paste the snippet to get started.

Install command

Not provided

Config snippet

Not provided

Copy snippet

Provided

Prerequisites

None

Platforms

1 listed

Install type

Copy & paste

Adoption plan

Balanced adoption plan

Current risk score 34/100. Use staged verification before broader rollout.

Risk 34
Adoption blockers
  • Safety notes are missing.
  • Privacy notes are missing.

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    Listing has review metadata.

    Done
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes missing; review source code paths before execution.

    Pending
  • Review privacy notesRequired

    Privacy notes missing; inspect network/data behavior manually.

    Pending
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Safety notes. Risk score 26.

Risk 26

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Missing

Safety notes are missing.

Required in this preset

Privacy notes

Missing

Privacy notes are missing.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Safety notes

Decision timeline

Decision timeline · balanced

Blocking gaps: Review safety notes. Risk 22.

Risk 22

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are missing.

Pending

verify

Review privacy notes

Privacy notes are missing.

Pending

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Review safety notes

Schema details

Install type
copy
Troubleshooting
No
Source repository stats
Scope
Source repo
Tool listing metadata
Pricing
freemium
Disclosure
heyclaude_pick
Application category
BusinessApplication
Operating system
Web, Self-hosted
Full copyable content
## Editorial notes

n8n is a source-available workflow automation platform you can self-host or run in the cloud. You build workflows visually from nodes — triggers, integrations, logic, and AI steps — to connect APIs, move data, and automate operations without writing glue code for every integration.

For Claude workflows, n8n's AI nodes let you call models as steps inside a larger automation: pull data from a trigger, run it through Claude for classification or drafting, and route the result to another system. Self-hosting keeps data and credentials on your own infrastructure, which matters for sensitive pipelines.

Reach for n8n when you want automation that mixes AI steps with hundreds of integrations and you value self-hosting and data control. If you only need an agent editing code, this is the wrong layer — it is an operations and automation tool, not a coding assistant.

## Disclosure

Editorial listing. No paid placement or affiliate link is used.

About this resource

Editorial notes

n8n is a source-available workflow automation platform you can self-host or run in the cloud. You build workflows visually from nodes — triggers, integrations, logic, and AI steps — to connect APIs, move data, and automate operations without writing glue code for every integration.

For Claude workflows, n8n's AI nodes let you call models as steps inside a larger automation: pull data from a trigger, run it through Claude for classification or drafting, and route the result to another system. Self-hosting keeps data and credentials on your own infrastructure, which matters for sensitive pipelines.

Reach for n8n when you want automation that mixes AI steps with hundreds of integrations and you value self-hosting and data control. If you only need an agent editing code, this is the wrong layer — it is an operations and automation tool, not a coding assistant.

Disclosure

Editorial listing. No paid placement or affiliate link is used.

Source citations

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How it compares

n8n side by side with 2 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

1 trust signal differ across this comparison (Submitter).

Field

Source-available workflow automation platform for self-hosted integrations, AI workflows, triggers, and data pipelines.

Open dossier

Integration platform for connecting AI agents and applications to external tools, APIs, auth, and workflows.

Open dossier

Open-source, self-hostable workflow automation platform with AI workflows, TypeScript pieces, human-in-the-loop steps, and a built-in MCP server.

Open dossier
Next steps
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backed
SubmitterDiffersoktofeesh1
Install riskReview firstReview firstReview first
Notes Safety · Privacy · Safety · Privacy Safety Privacy
Brandn8n logon8nComposio logoComposioActivepieces logoActivepieces
Categorytoolstoolstools
Sourcefirst-partysource-backedsource-backed
Authorn8nComposioActivepieces
Added2026-04-272026-04-272026-06-03
Platforms
CLI
CLI
CLI
Source repo
Safety notes— missing— missingActivepieces flows can send messages, call APIs, write records, publish webhooks, run code, and trigger cross-system side effects, so production flows need tests, approvals, rollback paths, and rate-limit controls. The built-in MCP server can let AI assistants build flows, manage tables, inspect runs, test automations, and publish changes; enable only the needed tool categories and keep project scope tight. Custom TypeScript pieces and code steps should be reviewed like application code, especially when they handle secrets, filesystem access, network calls, or business-critical integrations.
Privacy notes— missingComposio connects agents to your third-party accounts and handles their auth tokens to make API calls on your behalf; scope connected integrations and review what account data is accessed before granting access.Workflows can process prompts, customer records, emails, documents, form responses, table data, app payloads, webhooks, run logs, error traces, and AI-generated outputs. Activepieces connections may store OAuth tokens, API keys, account identifiers, webhook URLs, and service credentials; avoid exposing them in prompts, logs, MCP tool output, screenshots, or exported flows. Self-hosted deployments still need retention, backup, database, Redis, worker isolation, outbound network, telemetry, and access-control policies for all flow and run data.
Prerequisites— none listed— none listed
  • Activepieces Cloud account or reviewed self-hosted deployment using Docker, Docker Compose, Kubernetes, or another supported hosting path.
  • Connected app credentials, OAuth grants, webhooks, tables, and flow permissions scoped to the automations being built.
  • Review policy for which flows an AI assistant or MCP client may create, modify, publish, test, retry, or disable.
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