MCP server in n8n: IP geolocation via AI and BigDataClo

This automation template turns an IP geolocation API into a standardized tool for AI agents via an MCP server. It receives requests from AI, extracts parameters (IP, language, key), calls the BigDataCloud API, and returns structured geo-data back to the agent—no coding required.

## Who it´s for
- AI agent developers needing fast IP-based geolocation.
- Integrators building MCP-compatible plugins for LLMs.
- System architects extending agent capabilities with external APIs.

## What the automation does
- Accepts HTTP requests from AI agents via webhook.
- Automatically extracts parameters (IP, language, key) using $fromAI().
- Sends a GET request to BigDataCloud IP Geolocation API.
- Returns structured location data in original API format.
- Supports two endpoints: full report and confidence zone.

## What´s included
- Ready-to-use n8n workflow.
- Trigger and request handler logic.
- Integrations with BigDataCloud API and MCP protocol support.
- Basic setup and adaptation guide.

## Requirements for setup
- n8n account with HTTP node access.
- BigDataCloud API key.
- Compatible AI agent (e.g., based on LangChain).

## Benefits and outcomes
- Accelerates geodata integration into AI agents without manual coding.
- Provides a standardized interface via MCP.
- Enables location-based personalization of agent responses.
- Enhances security through IP origin checks.
- Simplifies multi-regional customer support.
- Works with any LLM system supporting MCP.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.