What is docs?

This repository contains the official documentation for the Model Context Protocol, a standard designed to help AI applications securely connect with external data sources and tools. The codebase here represents the written guides and technical specifications hosted on the protocol's main website, serving as the central reference point for anyone who needs to understand or implement the standard. In practical terms, this means the project contains the instruction manuals and detailed rulebooks that developers follow to make their software compatible with the Model Context Protocol. Instead of housing a functioning application, it holds the written content that explains how the protocol is supposed to work. Whenever someone reads the official website to learn about the standard, they are reading content that lives in this codebase. The people who rely on this are typically software builders and system integrators who want their own applications, databases, or internal tools to communicate smoothly with AI assistants. For example, if a company is building an AI assistant that needs to read from their private wikis or interact with their custom internal dashboards, they would consult these guidelines to figure out how to build a safe, standardized connection between those tools and the assistant. From a project management perspective, the way this codebase operates is quite streamlined. The README notes that any updates pushed to the primary code branch are automatically deployed to the live website. This means that as soon as a writer or developer merges new documentation or corrections into the project, those changes go live for the public without any manual intervention or extra deployment steps. The repository does not go into deeper detail about the specific writing tools or setup processes, pointing instead to a separate contributing guide for those specifics.