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gzigurella

PDF MCP

by gzigurella

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    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables processing and analysis of large PDF files through text extraction, search functionality, and intelligent chunking strategies. Provides comprehensive PDF operations including metadata retrieval, page-range text extraction, and content search with contextual results.
      -
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI-powered extraction and analysis of PDF documents with 40+ specialized tools for text, tables, images, layout analysis, security assessment, and document intelligence. Supports both text-based and scanned PDFs with OCR capabilities.
      132 PyPI
      10
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables PDF file manipulation including merging, splitting, extracting pages, extracting text, excluding pages, and reordering pages.
      33 npm
      1
      MIT

    TDQS

    A4.2/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: metadata extraction, text extraction, page extraction, form handling, merging, splitting, conversion to images, text search, and page count. No overlapping functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., extract_metadata, merge_pdfs, get_page_count). The naming is predictable and clear.

    Tool Count5/5

    10 tools cover a well-scoped set of PDF operations without redundancy. The count is appropriate for a utility server handling common PDF tasks.

    Completeness4/5

    The tool set covers core PDF workflows: metadata, text extraction, page manipulation, form handling, merging, splitting, search, and conversion. Minor gaps like PDF creation or OCR are absent but not critical for typical use.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues