It's a fairly simple stdio MCP server that provides
AI agents a faster way to search through docs for any Sphinx-powered documentation.
It builds Sphinx text docs and indexes them in SQLite (FTS5). There is also an optional hybrid search mode which creates embeddings and a vector db (sqlite-vec) and uses both approaches via RRF to get the best answer to your agent.
I've run this on several repos of varying size and complexity (pandas, celery, cpython) and have been impressed with the resulting answers.
