Automated Storage and Query of n8n Workflow Credentials

This workflow is designed to automate the collection, storage, and querying of credentials used within n8n workflows. It begins with a manual trigger that initiates the process, where it maps workflows and credentials, then stores this information into a SQLite database using a Python code node. A chatbot interface powered by OpenAI’s language model allows users to query this database naturally, asking questions about which workflows use specific apps like Slack, Airtable, or Google Sheets. The system further enables sophisticated searches, such as finding workflows that include certain keywords while excluding others, all through an AI-powered agent interacting with the database. Practical scenarios include managing and auditing workflow credentials efficiently, identifying workflows that use specific integrations, and improving workflow governance through simple natural language queries.