LESSONS ON BUILDING MCP SERVERS

Summary from the TLDR AI newsletter

This post discusses how to make MCP toolchains work using a framework where the MCP servers do most of the work while models walk breadcrumbs. Models don't plan - they look at the conversation, scan the tool list, and grab whatever looks most probable. Making effective chains means making sure the server makes the next call blindingly obvious at every step.