Answer infrastructure questions in Mattermost with OpenRouter and Qdrant Workflow Solution

Workflow overview

Why this workflow matters

Useful for software delivery and engineering operations. Supports knowledge capture and document intelligence use cases.

Overview AI-powered sub-workflow that answers questions about a your infrastructure configuration directly in a Mattermost channel or thread 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 another workflow 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 generates a response based on the system prompt, knowledge base, and access to repositories. The agent's response is posted back to Mattermost via the Post a message node How to use Upload your infrastructure documentation (Markdown, YAML, runbooks) into Qdrant Import the attachmentsAnalyzer sub-workflow and update the workflow reference inside Deploy or point to your MCP servers Configure credentials Edit the AI Agent system message to describe your infrastructure In SetVars, replace the example Wire this workflow up to an upstream router

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