Skip to main content
Glama

Related Servers

Alternatives to MCP PDF Forms

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      A comprehensive MCP server with 37 tools for PDF operations including reading, searching, creating, merging, splitting, watermarking, form filling, and more, built on open-source libraries.
      37
      64 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides tools for reading, writing, and manipulating PDF files, including text extraction, metadata retrieval, and merging or splitting documents. It also enables users to create PDFs from plain text and convert specific pages or entire documents into images.
      35 npm
      ISC
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server for PDF form filling, basic editing, and OCR text extraction. It enables users to merge, rotate, annotate, and sign PDFs, while also supporting text extraction from both searchable and scanned image-based documents.
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      A local MCP server that drives PDFium and pypdf to perform comprehensive PDF operations including inspection, assembly, page editing, watermarking, rendering, extraction, form filling, encryption, compression, attachments, bookmarks, and metadata management.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides comprehensive PDF processing capabilities including text extraction, image extraction, table detection, annotation extraction, metadata retrieval, page rendering, and document structure analysis.
      -
    • A
      license
      A
      quality
      D
      maintenance
      An MCP server for local PDF manipulation including merging, splitting, rotating, watermarking, and text extraction. It works with various MCP-compatible clients and processes PDFs entirely on-device without cloud services.
      11
      7 npm
      MIT

    TDQS

    A3.8/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity. extract_form_fields handles form-specific metadata, extract_text retrieves raw text, highlight_form_field visually marks form fields, list_pdfs enumerates files, render_pdf_page generates page images, and search_text performs pattern matching. The descriptions reinforce these unique roles, making tool selection straightforward.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case, such as extract_form_fields, highlight_form_field, and render_pdf_page. The naming is predictable and readable throughout, with no deviations or mixed conventions, enhancing clarity and usability.

    Tool Count5/5

    With 6 tools, the server is well-scoped for PDF form and content processing. Each tool earns its place by covering distinct aspects like extraction, rendering, listing, and searching, without being overly sparse or bloated. This count aligns well with the domain's typical operations.

    Completeness4/5

    The tool set provides strong coverage for PDF form and text operations, including extraction, rendering, listing, and searching. A minor gap exists in form field modification (e.g., fill_form or update_form_field), but agents can work around this by using other tools or external methods. Core workflows are well-supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues