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Interact with a local PDF file

  • Why this server?

    This server provides tools to merge, extract, and search PDF files locally, using PyPDF2.

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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)
    5
    19
    Python
    The Unlicense
  • Why this server?

    This server can search and read PDF files located in Box using a Developer Token.

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    The Box MCP Server facilitates searching and reading PDF and Word files in Box using Developer Token authentication.
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    2
    JavaScript
    BSD 3-Clause
  • Why this server?

    This server supports converting documents, including PDF, to various formats like Markdown or HTML using Pandoc locally.

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    MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.
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    104
    Python
    MIT License
    • Apple
  • Why this server?

    This server offers 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?

    This server extracts webpage content, removes ads, and transforms it into clean, LLM-optimized Markdown, which could be relevant for processing PDF content obtained from the web.

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    A Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.
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    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server offers a tool to extract text from local PDF files, including OCR for scanned documents.

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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 converts PDF documents into PNG images, useful for visual analysis or processing.

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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?

    This server focuses on markdown documentation, but it also works with files and provides capabilities for document management, metadata handling, search, and documentation health analysis which could work with converted PDF documents.

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    A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
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    11
    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server supports summarization of multiple content types, including PDF documents.

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    MCP Server for AI Summarization, Support for multiple content types: * Plain text * Web pages * PDF documents * EPUB books * HTML content
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    9
    JavaScript
  • Why this server?

    This server converts Markdown documents to PDF files.

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    An MCP server for converting Markdown documents to PDF files.
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    JavaScript