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

Workflow overview

Why this workflow matters

Useful for software delivery and engineering operations. Improves internal consulting operations and productivity.

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

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