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.
Acerca de
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.
Características Principales
- Smart Search
- MCP Integration
- Web Crawling
- Local File Indexing
- AI-Powered Processing
- 0 GitHub stars
Casos de Uso
- Creating a local, searchable database of documentation for AI agents
- Indexing local project documentation for easy AI access and querying
- Enhancing AI agent capabilities with domain-specific context from crawled web sources
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