This n8n workflow sets up an IP Geolocation API service using an MCP trigger to serve AI agents requesting geographical data. It facilitates real-time retrieval of detailed IP location information by integrating BigDataCloud’s IP Geolocation APIs into an automated process. The workflow includes setup instructions, API endpoint descriptions, and configuration tips for seamless integration.

The process begins with a setup node where users import, activate, and connect the workflow to their AI agents via a webhook endpoint. The core nodes perform HTTP requests to BigDataCloud’s API endpoints, querying IP geolocation data, confidence areas, and hazard reports based on parameters populated through AI expressions. These nodes include authentication setup with headers for secure API access.

The workflow’s logical flow involves triggering the MCP server when a request is received, then passing the IP address and optional parameters to the API endpoints. Responses are returned directly to the AI agents, enabling dynamic geographical context for AI-driven automation, analytics, or security tasks.

This setup is particularly useful for applications requiring geographic awareness, such as targeted content delivery, security monitoring, or location-based decision-making within WordPress integrations or other AI-powered systems.