eBay Analytics API Rate Limit MCP Server for AI Agents

This n8n workflow creates a complete MCP (Model Context Protocol) server that exposes two key eBay Analytics API operations: retrieving application rate limits and user rate limits. It acts as a bridge, allowing AI agents to query eBay's rate limit status effortlessly without direct API handling. The workflow uses an MCP Trigger node as the entry point, HTTP Request nodes to call eBay's APIs (https://api.ebay.com), and AI expressions with $fromAI() placeholders for dynamic parameter population from agent inputs.

Benefits include automated rate limit monitoring to prevent API throttling for eBay sellers and developers, seamless integration with tools like Claude Desktop, Cursor, or custom AI apps, and built-in error handling for robust operation. No need for complex custom code—simply import, add credentials, activate, and connect via the webhook URL.

Use cases: eBay marketplace automation for high-volume sellers tracking API usage; AI-driven e-commerce agents that self-regulate calls to avoid bans; dev tools for monitoring in multi-agent systems. Supports native API responses, making it ideal for real-time analytics in sales, inventory, or listing management workflows.