MCP (Model Context Protocol) is quickly becoming the standard way AI agents interact with external tools and services. Claude, Cursor, Continue, and others all speak MCP natively now. The problem? Setting up an MCP server for your API used to mean writing a separate server, maintaining it alongside your actual API, and keeping it in sync whenever your schema changed. APIKumo removes that entirely. Every collection you build and publish in APIKumo gets an automatic MCP endpoint — no configuration, no separate server, no code to maintain. How it works in APIKumo When you publish a collection in APIKumo, you get three things out of the box: A public doc page — with version selector, scroll-spy nav, changelog, and a live try-it console AI chat grounded in your endpoints — users can ask questions about your API and get answers based on your actual definition, not hallucinated responses An MCP endpoint — a live Model Context Protocol endpoint that any MCP-compatible AI agent can connect to immediately The MCP…