Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
This tool creates a comprehensive, searchable knowledge base for Pybricks developers, educators, and FLL teams. It automatically ingests official Pybricks documentation, tutorials, and GitHub changelogs, organizing them into a ChromaDB vector store. This rich data source then powers an MCP-style tool server, enabling users to efficiently search documentation, find relevant code snippets, look up specific API symbols, and compare version features, ultimately streamlining the learning and development process for Pybricks projects.