Microcontexts are small .md files with concise, structured technical context for specific projects or tools.
They are not meant to be read directly by users, but are designed to be used as input context for AI tools like Cursor, Winsurf, Warp AI, and others.
Their purpose is to improve the quality of AI assistance by providing accurate information about how a project works — how to build, test, deploy it, and where to find related documentation.
Learn how to build Model Context Protocol (MCP) servers that enable AI to interact with external tools. This project guides you through creating your first MCP server, configuring MCPs in Claude Desktop, automating browsers with Playwright and building AI-agentic web browsing. By the end, you'll be able to extend AI capabilities to perform complex tasks like browser automation, web research, and specialized API interactions.