Skip to main content
Glama
Sign In
io.github.tidybytetools/pdf-table-pull-lite

io.github.tidybytetools/pdf-table-pull-lite

Official
by tidybytetools
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to io.github.tidybytetools/pdf-table-pull-lite

No user-submitted related servers found.

    Related Servers

    • pdf-table-extract

      GuoHaoyu1688
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables inspecting local PDFs and extracting tables into CSV, XLSX, or JSON with options for pages, merging, OCR, engine selection, headers, merged cells, regions, and columns.
      MIT

    • pdf-mcp

      wesseltl
      A
      license
      Not graded
      quality
      C
      maintenance
      Extracts text and tables from PDFs for AI agents via MCP, enabling structured data retrieval from invoices, reports, and statements.
      75 PyPI
      1
      MIT

    • pdf-text-extractor-mcp

      Prashant2204
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to extract text locally from PDF files through a STDIO tool, returning full-document text, page-level paragraphs, extraction methods, warnings, and basic table readability, with English/German OCR fallback for scanned pages.
      MIT

    • MokuPDF

      jameslovespancakes
      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

    • MCP PDF

      rsp2k
      A
      license
      Not graded
      quality
      C
      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.
      576 PyPI
      11
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 1 tool

    Disambiguation5/5

    There is only a single tool, so there is no possibility of selecting the wrong one. Its purpose—extracting tables from a local text PDF—is stated clearly and unambiguously.

    Naming Consistency5/5

    The lone tool follows a clear snake_case verb_noun pattern (extract_pdf_tables). With one tool there is no convention mixing, and the name is self-describing.

    Tool Count3/5

    A single tool is defensible for a deliberately 'lite', single-purpose extractor, but the surface is thin: there is no companion operation to inspect a PDF before extracting. It sits at the borderline of minimal rather than well-scoped.

    Completeness3/5

    The core extraction workflow is covered, including page ranges, strategy choice, and CSV output, but there are notable gaps: no way to discover page count or check whether a PDF is text-based, and scanned/image pages are simply skipped with no fallback. Agents working with real-world PDFs will hit these dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources