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

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 1. The workflow is triggered by Execute Workflow Trigger 1. ReadIncidentContext logs the request and forwards the payload 1. Call 'attachmentsAnalyzer invokes a vision sub-workflow with the fileids 1. SetVars sets workflow-level constants 1. AI Agent builds the Jira payload. The system prompt 1. Parse Agent Output safely parses the agent's output enriches the Jira description. 1. Create an issue creates a Task in the configured project with the chosen label and component. 1. 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