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An MCP server for uploading PDFs and answering questions based on them

  • Why this server?

    This server offers OCR capabilities to extract text from PDFs, which is essential for making the PDF content accessible to the AI agent for answering questions.

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    A server that enables OCR capabilities to recognize text from images, PDFs, and Word documents, convert them to Markdown, and extract key information.
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    83
    2
    JavaScript
    MIT License
  • Why this server?

    This tool is specifically designed for PDF to Markdown conversion, allowing the AI to work with a more easily parsable format.

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    PDF to Markdown conversion tool
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    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    This server provides various file conversion tools including PDF to DOCX, which can help preprocess the PDF content for better AI analysis.

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    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?

    While not directly related to PDFs, this server has a memory component which is important in order to provide the AI agent with a memory of the context from the PDF file.

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    Provides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.
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    Python
  • Why this server?

    This server facilitates interaction with Box files and folders through the Box API, allowing for file search and text extraction, useful for accessing the uploaded PDFs.

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    A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.
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    Python
    • Apple
    • Linux
  • Why this server?

    This server provides read-only access and file search capabilities, which would allow the AI to find and read uploaded PDFs.

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    This server offers secure, read-only access to directory files via the MCP, supporting file searching, .gitignore compliance, path traversal protection, and MIME type detection using the 'file://' URI scheme.
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    MIT License
    • Apple
    • Linux
  • Why this server?

    Allows the LLM to read files from a specified directory, enabling access to the uploaded PDF documents.

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    A Filesystem MCP server that allows an LLM to read and list files from a specified directory on your local machine through the Model Context Protocol.
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    Python
  • Why this server?

    While not directly PDF focused, it allows users to interact with their Zotero library, which might contain the PDFs. It provides tools for searching items, retrieving metadata, and accessing full text using natural language queries.

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    This server allows users to interact with their Zotero library through the Model Context Protocol, providing tools for searching items, retrieving metadata, and accessing full text using natural language queries.
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    44
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    This MCP Server works with PDF documents which the AI agent can read and analyze.

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    A Model Context Protocol (MCP) server that allows interaction with PDF and EPUB documents, designed to work with Windsurf IDE by Codeium.
    3
    Python
    MIT License
  • Why this server?

    While not a PDF Parser, it's an alternative server if you can extract information from a web page (i.e. convert the PDF to an online document, then use this tool to make the text readable)

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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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    MIT License