Scrapes, caches, and serves documentation from various preconfigured sites for AI-powered development tools.
Sponsored
This robust system acts as a central hub for technical documentation, designed to enhance AI-assisted development workflows. It automatically scrapes, caches, and indexes content from any preconfigured website, making it instantly accessible via Model Context Protocol (MCP) tools in environments like Cursor or VS Code. Its highly extensible architecture allows developers to easily add support for new libraries or frameworks by defining simple configuration files, ensuring AI assistants always have access to the latest and most relevant information specific to their project needs.
主な機能
01Generic, multi-provider architecture for diverse documentation sources
02Seamless integration with Model Context Protocol (MCP) tools for AI assistant augmentation
03Automated scraping, caching, and indexing pipeline for web content
04Customizable provider system for defining site identity, content extraction rules, and discovery methods
05Provider-scoped filesystem cache and in-memory search index for efficient data retrieval
060 GitHub stars
ユースケース
01Providing cached and searchable documentation for offline development environments
02Empowering AI assistants in IDEs (like Cursor/VS Code) with specific library documentation
03Creating custom documentation servers for internal libraries or specialized tools
