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maxrabin

pdf-image-extractor-mcp

by maxrabin

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    • F
      license
      A
      quality
      C
      maintenance
      Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.
      7
      15
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI applications to read and process PDF files with intelligent file search, text extraction, image processing, and optional OCR support for scanned documents.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.
      12
      1
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 1 tool

    Disambiguation5/5

    Only one tool exists, so no ambiguity between tools is possible.

    Naming Consistency5/5

    Single tool so naming pattern is trivially consistent.

    Tool Count2/5

    One tool for PDF image extraction is too few; the server would benefit from additional tools like listing pages, extracting text, or handling metadata.

    Completeness3/5

    The tool covers basic image extraction but lacks options for page selection, image format control, or handling of edge cases like password-protected PDFs.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues