What problem does it solve?
Quickly locates and retrieves authoritative library and framework documentation by automating URL construction, topic detection, and llms.txt discovery so users don't have to search manually across context7.com, official sites, or GitHub repositories.
Core Features & Use Cases
- Topic Detection: Extracts library and topic from natural language queries to target topic-specific documentation.
- Context7 Fetch with Fallbacks: Builds context7.com URLs, tries topic-specific then general endpoints, and falls back to web search or repository analysis when needed.
- llms.txt Analysis: Parses llms.txt, categorizes URLs into critical/important/supplementary, and suggests agent distribution for downstream research.
- Use Case: Developers or researcher agents needing focused API pages, installation guides, or targeted component docs for rapid information retrieval and agent orchestration.
Quick Start
Run the detect and fetch scripts to retrieve topic-specific llms.txt results for the query How do I use date picker in shadcn/ui?.