n8n Workflow Credentials Intelligent Query Assistant

Workflow Name

n8n Workflow Credentials Intelligent Query Assistant

Key Features and Highlights

This workflow enables automatic extraction, storage, and intelligent querying of all workflows and their node credentials within the n8n platform. By mapping workflow credentials into a local SQLite database and integrating an AI-driven intelligent chat agent, users can quickly query which workflows use specific application credentials using natural language. This significantly enhances the convenience and transparency of workflow management. Highlights include credential security protection (data stored only in a local in-memory database), AI-powered SQL querying of the database without the need for complex UI setup, and a real-time interactive Q&A experience.

Core Problems Addressed

In complex n8n automation environments, as the number of workflows and integrated services grows, users find it difficult to quickly locate and manage credentials used by each workflow, resulting in high maintenance costs and troubleshooting challenges. This workflow solves the issues of dispersed credentials, inconvenient querying, and lack of a unified view by centrally collecting and storing credential information combined with an intelligent AI query interface.

Application Scenarios

• Automation platform administrators needing rapid insight into credentials used across all workflows
• Team collaboration scenarios where members share credential usage information to avoid redundant configuration or permission conflicts
• Auditing and security inspections to identify workflows using sensitive credentials
• Developers filtering workflows by specific application combinations for optimization or extension based on business needs

Main Process Steps

1. Trigger Collection: Manually trigger the process to call n8n’s built-in API to retrieve all workflow information and node credentials
2. Map Data: Extract each workflow’s ID, name, and the list of credentials from nodes, performing structured mapping
3. Store Credentials: Use a Python code node to save the mapped results into an in-memory SQLite database, ensuring data security and easy querying
4. Intelligent Query Interface: Integrate OpenAI language models and LangChain agents to allow users to input natural language queries
5. Execute Database Queries: The agent converts natural language into SQL queries, invokes the database tool node to execute queries, and returns results
6. Interactive Feedback: Users interact with the AI assistant via chat triggers for multi-turn Q&A, providing a user-friendly credential retrieval experience

Involved Systems and Services

• n8n API: For retrieving workflow and node credential information
• SQLite Database: Local in-memory database for storing credential mapping data
• OpenAI API: Provides natural language understanding and generation capabilities
• LangChain: Implements AI agents, memory caching, and tool invocation to support intelligent SQL query interfaces
• Python Code Node: Handles data mapping and database operations

Target Users and Value

• Automation Platform Administrators: Quickly grasp credential distribution across workflows to optimize management efficiency
• DevOps and Operations Teams: Enhance credential auditing and security compliance capabilities
• Developers and Business Analysts: Conveniently query integrated applications within workflows to support business process analysis and improvement
• Cross-Department Collaboration Teams: Promote information transparency, reduce redundant work, and minimize configuration errors

In summary, this workflow provides n8n users with a powerful credential management tool that integrates data collection, storage, and AI-powered intelligent querying, effectively improving the management efficiency and security level of automation platforms.