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paper-extraction-MCP

by tylo-git

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    • F
      license
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      maintenance
      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.
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    • A
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      C
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      Enables local RAG-based book and PDF search through Claude Desktop, using hybrid BM25 and vector retrieval with ChromaDB, plus optional OCR for scanned documents.
      MIT
    • F
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      A
      quality
      C
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      Enables Claude to search a local hybrid retrieval index of research papers and ingest new PDFs, providing research-paper memory queryable directly through natural language.
      2
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    • F
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      C
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      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.
      1
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    • A
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      quality
      D
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      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.
      21
      MIT
    • A
      license
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      quality
      C
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      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.
      MIT