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Alternatives to PDF Reader MCP Server

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    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to perform 13 PDF operations (merge, split, compress, watermark, encrypt, and more) on local files via MCP.
      2
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Extracts text and tables from PDFs for AI agents via MCP, enabling structured data retrieval from invoices, reports, and statements.
      28 PyPI
      1
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to extract structured data from PDFs with confidence scores and provenance, and to search, review, and correct documents via MCP tools, resources, and prompts.
      -
    • 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

    B3.2/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'read_pdf' has a clear and distinct purpose focused on extracting content and metadata from PDFs.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'read_pdf' follows a clear verb_noun pattern, which would be consistent if more tools were added.

    Tool Count2/5

    A single tool is too few for a server named 'PDF Reader MCP Server', as this suggests a broader domain that might include operations like search, annotate, convert, or edit PDFs. The scope feels incomplete with just reading functionality.

    Completeness2/5

    The tool set is severely incomplete for a PDF reader domain. While 'read_pdf' covers extraction, there are obvious gaps such as searching within PDFs, manipulating pages, adding annotations, converting formats, or handling PDF metadata updates, which are common in such applications.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week