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A search for PDF files or information related to PDFs

  • Why this server?

    This server extracts text content from local PDF files, including OCR capabilities.

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    An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.
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    Python
    • Apple
  • Why this server?

    This server allows performing various PDF operations such as merging, extracting pages, and searching.

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    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)
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    19
    Python
    The Unlicense
  • Why this server?

    This server converts PDF documents into PNG images.

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    A Model Context Protocol server that converts PDF documents into PNG images through a simple MCP tool call.
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    Python
    • Apple
    • Linux
  • Why this server?

    Converts various file types, including PDFs, to Markdown.

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    Converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.
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    16
    987
    TypeScript
    MIT License
  • Why this server?

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

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

    A Python-based MCP server that crawls websites to extract and save content as markdown files; useful for creating documentation from online PDF resources.

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    A Python-based MCP server that crawls websites to extract and save content as markdown files, with features for mapping website structure and links.
    1
    Python
    MIT License
  • Why this server?

    Includes integrations for knowledge management, advanced search, and workspace tools, likely able to parse PDF info.

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    A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.
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    TypeScript
    • Apple
  • Why this server?

    Extracts the main content from web pages and converts it into Markdown; may be useful for extracting text from online PDFs.

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    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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    4
    11
    MIT License
  • Why this server?

    Provides a tool to find PDFs, extract form field information, and visualize form fields in documents.

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    A server providing PDF form manipulation tools via MCP's API, allowing users to find PDFs across directories, extract form field information, and visualize form fields in documents.
    Python