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GitLab MR Auto-Review & Risk Assessment

23 nodes · httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab

Engine
n8n
Nodes
23
Trigger
scheduled/triggered
Source file
1895_Gitlab_Code_Automation_Webhook.json

Workflow flow

IntegrationsHTTPAgentOutputParserAutofixingOutputParserStructuredLmChatAnthropicGitLabGmailCodeIFMerge@n8n/n8n-nodes-langchain.agent@n8n/n8n-nodes-langchain.outputParserAutofixing+2 more
100%

Auto-fixing Output Parser

@n8n/n8n-nodes-langchain.outputParserAutofixing

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Anthropic Chat Model

@n8n/n8n-nodes-langchain.lmChatAnthropic

Anthropic Chat Model1

@n8n/n8n-nodes-langchain.lmChatAnthropic

TRIGGER

GitLab Trigger

GitLab

TRIGGER

GitLab Trigger1

GitLab

TRIGGER

GitLab Trigger2

GitLab

Merge

Merge

Extract Diff

HTTP

If Some Change

IF

AI Agent

@n8n/n8n-nodes-langchain.agent

Distribution List Generator

Code

Comment Back on MR

HTTP

Send to DL ( Email Notification)

Gmail

14 steps · flows top to bottom, branches left to right

Browse by integration

httpRequestagentoutputParserAutofixingoutputParserStructuredlmChatAnthropicgitlabgmail
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

GitLab MR Auto-Review & Risk Assessment (23-node n8n automation, httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab, gmail) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"GitLab MR Auto-Review & Risk Assessment" automates a httpRequest-to-agent flow in n8n across 23 nodes. 23 nodes · httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Benchmark it against your current httpRequest integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 23-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the httpRequest stack.
  • Study how data moves from httpRequest to agent before building your own variant.

Example output

Imported into n8n, "GitLab MR Auto-Review & Risk Assessment" exposes 23 configured nodes. Trigger type: scheduled/triggered. Integrations: httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab, gmail. Set your credentials on the httpRequest node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "GitLab MR Auto-Review & Risk Assessment" into Claude and ask it to explain each of the 23 nodes. Claude is good at suggesting credential mappings for httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab, gmail, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "GitLab MR Auto-Review & Risk Assessment" to your accounts — which httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab, gmail credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 23 nodes.

Frequently asked questions

How do I import "GitLab MR Auto-Review & Risk Assessment" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "GitLab MR Auto-Review & Risk Assessment" use?
It uses: httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab, gmail. The flow diagram above shows how each service connects across the 23 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own httpRequest and agent credentials in n8n after import.
What trigger type does "GitLab MR Auto-Review & Risk Assessment" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "GitLab MR Auto-Review & Risk Assessment" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for httpRequest, agent, outputParserAutofixing, outputParserStructured, lmChatAnthropic, gitlab, gmail.

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