Mobility API MCP Server for AI Agents

This n8n workflow creates a fully functional MCP (Model Context Protocol) server that bridges the Mobility API (from O2 developer sandbox) to AI agents. It handles two key operations: retrieving application info via GET /info and transit data between locations via GET /transit/{from}/{to}. The MCP Trigger node serves as the endpoint, while HTTP Request nodes manage API calls, automatically populating parameters with AI-provided data using $fromAI() expressions. Native error handling ensures robust responses back to the AI agent.

Benefits include rapid setup for AI-driven mobility queries without custom coding—import, add credentials, activate, and share the webhook URL. It saves hours of development time by providing a standardized MCP interface, enabling seamless integration with tools like Claude Desktop, Cursor, or custom AI apps. Ideal for e-commerce customer service scenarios involving transit planning, delivery routing, or location-based services.

Use cases span logistics automation, where AI agents fetch real-time transit info for order fulfillment; customer support bots querying mobility data; or developer tools for testing AI agents with real APIs. Supports path parameters, queries, and full response structures, making it versatile for scalable AI workflows.