Enables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.
Automated arXiv research paper discovery and AI-powered summarization system that enables Claude Desktop users to search, retrieve, and get intelligent summaries of academic papers through MCP integration.
Enables real-time indexing and semantic search of local documents (PDF, Word, text, Markdown, RTF) using vector embeddings and local LLMs. Monitors folders for changes and provides natural language search capabilities through Claude Desktop integration.
Enables natural language search and analysis of arXiv academic papers with AI-powered relevance ranking, full-text extraction, and support for multiple integrations like Claude and LangChain.
Enables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.
Enables natural language interaction with Zotero libraries, allowing users to search, retrieve, and update papers and metadata via AI assistants like Claude and Gemini.
