Download entire documentation websites for offline access and RAG indexing. Supports configurable depth and concurrency settings for efficient website retrieval.
Extract and analyze web page content to answer specific questions using RAG (Retrieval Augmented Generation). Provide AI-generated responses based on relevant page sections for accurate insights.
Initialize a new vector-based RAG project for semantic search and contextual conversations within your Calibre ebook library, organizing books for enhanced content retrieval.
Add files to a RAG system for document retrieval, supporting PDF, DOCX, TXT, MD, CSV, and JSON formats to enable semantic search and information access.
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.
A Model Context Protocol server that exposes multiple AI tools over SSE transport with JWT-based secure authentication, allowing for dynamic tool registration and session management.
A TypeScript implementation of a Model Context Protocol server that enables real-time communication with LLM clients using Server-Sent Events (SSE) for transport and Bearer Token authentication for security.