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Tools and methods to analyze and extract content from PDFs

  • Why this server?

    Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.

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    security
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    license
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    quality
    Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.
    3
    Python
  • Why this server?

    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.

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    security
    A
    license
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    quality
    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.
    3
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    MCP using PyPDF2 to merge, extract pages, search and find related PDF files.

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    security
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    license
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    quality
    mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)
    5
    19
    Python
    The Unlicense
  • Why this server?

    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.

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    security
    A
    license
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    quality
    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
    1,327
    9
    JavaScript
    MIT License
  • Why this server?

    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.

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    security
    A
    license
    A
    quality
    Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
    1
    4
    11
    MIT License
  • Why this server?

    A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.

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    security
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    license
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    quality
    A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.
    TypeScript
    • Apple
  • Why this server?

    A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.

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    security
    A
    license
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    quality
    A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.
    6
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.

    -
    security
    A
    license
    -
    quality
    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.
    3
    Python
    MIT License
    • Linux
    • Apple