This n8n workflow streamlines the process of managing and querying n8n workflow credentials using AI-powered interfaces. It begins with a manual trigger to initiate the process, then retrieves all workflows and their node credentials. These credentials are stored in a local SQLite database created directly within a code node, ensuring data remains secure. An AI agent is integrated to serve as a search interface, allowing users to ask natural language questions like “Which workflows use Slack and Google Sheets?” The workflow utilizes an OpenAI language model with memory buffers to process queries contextually, providing a user-friendly way to manage complex credential relationships without exposing sensitive data. This setup is ideal for automation teams needing quick access to workflow configurations and credential mappings in a secure, AI-assisted environment.
Automated Workflow Credential Mapping and Querying
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolCode, code, manualTrigger, n8n, set, stickyNote |
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