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io.github.R09722akaBennett/nano-pdf-mcp

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to perform comprehensive PDF operations locally, including compression, text extraction, PII redaction, page organization, splitting, merging, watermarking, creation, and form filling, all without cloud uploads.
      10 npm
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    • A
      license
      C
      quality
      C
      maintenance
      Enables AI assistants to perform PDF operations like merge, split, compress, convert, encrypt, OCR, and summarize using natural language.
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    • A
      license
      B
      quality
      A
      maintenance
      Enables AI agents to perform local-first PDF processing entirely on-device, including OCR write-back to make scans searchable, unlocking and re-encrypting PDFs, splitting/merging/rotating pages, and compressing files, with no cloud calls or file uploads.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to edit text inside real PDF files in place while preserving fonts and layout, with a before/after preview. Also supports compressing, merging, splitting, converting, translating, generating and querying PDFs through a hosted remote MCP endpoint.
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