How I Gave an AI Agent Access to 20 Job APIs Through One Endpoint

The Problem: Job Data is Scattered Everywhere If you've ever tried to build anything that touches job market data, you know the pain. Every job board has its own API, its own auth, its own rate limits, its own response format. Want global coverage? You need Adzuna for 16 countries, Reed for UK, Arbeitnow for EU, Remotive for remote roles, TheirStack for tech stack analysis, Jooble for aggregated results, and probably five more I'm forgetting. That's 7 API keys, 7 auth schemes (Basic Auth, Bearer tokens, keys-in-URL-path, no auth at all), 7 different response formats, and 7 sets of rate limit rules. For a single query like "find me Python developer jobs in Europe, preferably remote." I spent the last week wiring all of these into a single MCP endpoint. Here's exactly how it works and how you can use it. What MCP Changes About Multi-API Orchestration Model Context Protocol (MCP) is the standard that lets AI agents discover and call tools dynamically. Instead of hardcoding API calls, your