I Built My First AI Agent That Understands Bitcoin -- Here's How

I Built My First AI Agent That Understands Bitcoin -- Here's How A beginner's guide to MCP, agentgateway, and bitcoin-mcp I wanted to build an AI agent that could answer questions about Bitcoin. Not from a static FAQ -- I mean real-time data. Current block height. Mempool congestion. Fee estimates. Mining stats. I figured this would take days of API wrangling, authentication headaches, and custom plumbing. It took 10 minutes. Here's what I learned. The Problem AI models are smart, but they're stuck in the past. Ask Claude or GPT about the current Bitcoin block height and you'll get a polite "I don't have access to real-time data." Fair enough -- but what if you could give them that access? That's what MCP does. What is MCP? Model Context Protocol (MCP) is an open standard that lets AI models call external tools. Think of it like USB for AI: a universal plug that connects any AI client to any data source. An MCP server exposes tools (like "get the current Bitcoin block height"). An MCP