Enables hybrid web search and intelligent content extraction, combining semantic search with documentation-optimized reading that strips noise and returns clean, token-efficient context for AI agents.
Provides real-time retrieval of official documentation for LangChain, LlamaIndex, and OpenAI. It enables context-aware coding by fetching the latest API references and guides directly into Claude via the Model Context Protocol.
Provides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, Google Gemini) to prevent hallucinations and outdated code patterns in AI agents.
Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.