LocalDocs
Creates a local database of indexed and optimized technical documentation, enabling AI agents to efficiently query and retrieve information from web sources and local files.
LocalDocs functions as a Model Context Protocol (MCP) server, building a private, indexed, and optimized repository of technical documentation. It empowers AI agents to effortlessly access, search, and retrieve information from a variety of sources, including crawled websites and local markdown files. With features like optional AI-powered metadata extraction and example generation, smart search capabilities, and full MCP protocol support, LocalDocs provides a robust foundation for building context-aware AI applications and improving AI agent interaction with domain-specific knowledge.
