Enables AI assistants to search, read, and retrieve context from local knowledge bases with full-text search, absolute paths, and section-level details.
Enables AI agents to navigate large Markdown libraries structure-first — walking library → folder → document → section and reading original text with line numbers, with keyword search as fallback — so answers stay explainable and citable without embeddings or a vector database.
Enables agents to search and read locally indexed runbooks, project notes, and technical documentation through MCP, returning passages with file paths, line numbers, and document hashes so answers can cite sources.