Convert DevOps Mattermost requests into Jira tasks with OpenRouter GPT and Gemini

Description

Overview
This is a sub-workflow that converts a free-form DevOps request posted in Mattermost into a properly formatted Jira task

Requirements
OpenRouter/OpenAI/Anthropic API key
Google Gemini API key — for embeddings
Jira API credentials — Cloud or Server.
Mattermost API credentials — to post the reply back to the channel
Qdrant instance
Remote MCP servers (see MCP section)
A sub-workflow that analyses attachments
A parent workflow that triggers this one via "Execute Workflow" with a properly shaped payload

How it works
The workflow is triggered by Execute Workflow Trigger
ReadIncidentContext logs the request and forwards the payload
Call 'attachmentsAnalyzer invokes a vision sub-workflow with the file_ids
SetVars sets workflow-level constants
AI Agent builds the Jira payload. The system prompt
Parse Agent Output safely parses the agent's output enriches the Jira description.
Create an issue creates a Task in the configured project with the chosen label and component.
Post a message replies in the original thread with a confirmation containing a clickable Jira link.

How to use
Index your infrastructure docs into Qdrant using
Deploy the Mattermost MCP server and put its URL into the Mattermost MCP Client node
Deploy / import the attachmentsAnalyzer sub-workflow
Configure credentials in the workflow
Edit SetVars
Edit Create an issue — pick your own Jira project, issue type and component.
Tune the system prompt in AI Agent — adjust the direction labels and the few-shot examples to match your team's taxonomy.
Wire this workflow into your classifier ia an Execute Workflow node