#pdf

This is an MCP (Model Context Protocol) server for integrating with Lumin's API services. It allows AI assistants (MCP clients, e.g Claude Desktop, Cursor) to interact with Lumin features such as document management, signature requests, and user information.

A FastMCP-based MCP server for converting JSON-formatted Markdown content into interactive flashcard pages. Project Overview FlashCardMCP is a FastMCP-based MCP service designed to convert Markdown content in JSON/CSV format into interactive flashcard pages. This service is suitable for learning, teaching, knowledge management, and any other scenario you desire, helping users create their own digital flashcard sets. Content Focus: Utilizes Markdown format, aligning with LLM output, allowing users to concentrate on content creation rather than irrelevant formatting details. Stable Output: Employs functions to stably generate flashcards, supporting CSS style input to meet personalized needs. Scenario-Based Templates: Provides pre-built templates for various scenarios, with further expansion planned. PDF Output: Flashcards can be printed as PDFs (8 cards per sheet), further accommodating different scenarios and real-world applications for use and memorization.

This server provides a tool to convert Markdown text to PDF files using the convert_markdown library. It's designed to work as an MCP (Model Context Protocol) server that can be integrated with various AI assistants and applications.

MCP server for the Urlbox Screenshot API. Enables your client to take screenshots, generate PDFs, extract HTML/markdown, and more from websites. Visit Urlbox for more information, and have a read of our docs or chat with your LLM post install to get a good understanding of its options and capabilities.

PapersGPT is a powerful Zotero plugin that seamlessly embeds state-of-the-art artificial intelligence into your research process. It empowers users to interact conversationally with single or multiple PDFs from their Zotero library, facilitating rapid insight extraction, summary generation, and more. Supporting a vast array of cutting-edge Large Language Models—including popular cloud services via OpenRouter and major providers, alongside one-click local execution of free SOTA LLMs for enhanced privacy—PapersGPT offers unparalleled flexibility.

The PandaDoc MCP Server enables AI tools to interact with PandaDoc's document management system, providing access to document templates, field mappings, roles, real-time document state previews, and seamless integration with PandaDoc's public API for automated document workflows.

The MCP server used for operating PDFs, currently supports merging PDF files and exporting specified pages from designated PDF files.

An MCP server that can extract text from PDFs and images. It supports: * Native text extraction from PDFs (embedded text) * OCR for scanned PDFs and images using Tesseract

A Model Context Protocol server for seamless document format conversion and processing

Automated screenshot capture and document processing for MCP Clients Turn your screenshots into PDFs automatically! Auto-Snap lets your MCP client capture windows, process documents, and create PDFs with simple natural language commands.

Accepts labels and data and returns a bar chart PDF generated from the data.

Accepts labels and data and returns a bar chart PDF generated from the data.

Comprehensive PDF manipulation toolkit. Merge, split, encrypt, optimize PDFs through natural language commands via MCP protocol.

ComIDP MCP Server is a lightweight Model Context Protocol (MCP) server designed for seamless integrating ComIDP with AI chatbots, providing unstructured document processing functionalities, such as extracting data from PDF files. The service returns results in structured plain-text format, enabling downstream processing or archival.

ComIDP MCP is a lightweight MCP (Model Context Protocol) server designed for seamless integrating ComIDP with Claude Desktop. It provides unstructured document processing functionalities, such as extracting data from PDF files. The service returns results in structured plain-text format, enabling downstream processing or archival.

Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes. See https://markdown2pdf.ai for more.

Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes. Markdown is easy for AI agents to work with, but not so great for humans. We help agents transform their output into beautiful PDFs for human consumption. L402 and MCP native API - pay per call with sats, no OAuth, API keys or rate-limits. Send markdown, get back a PDF. No subscriptions or hidden tiers. Learn more at markdown2pdf.a

A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.

MCP server for PDF.co API integration - enables AI assistants to perform PDF operations

MCP server for extracting metadata from Portuguese legal documents using advanced PDF processing and database architecture

MCP server for signing PDF documents with signature images. Built upon signpdf by Charlie DeTar.

obsidian-milvus-FastMCP

Create, Edit, Sign, Redact your documents using natural language

MCP server for parsing data from a pdf url

TextIn.com 官方OCR MCP Server， 支持快速识别文档中的ocr文字，转换文档为markdown，智能识别文档中的关键信息。

It gives you the markdown format of any kind of pdf file. It outputs in structured markdown format.

Model Context Protocol (MCP) server to read a single pdf document

A RAG-ready MCP server for semantic PDF search with OCR, FAISS, and transformers—plug into any MCP client and retrieve intelligent answers within your MCP client.

An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.

An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.

An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.

PDF to Markdown conversion tool

Markdown To PDF Conversion MCP

A MCP Server for pdffigures2: This server processes scholarly PDFs to extract figures, tables, captions, and section titles with high accuracy. It is designed to support researchers and developers in efficiently analyzing academic documents.

A Simple MCP Server that allows you to convert HTML documents to PDFs

MCP server that provides doc forge capabilities

MCP server for working with PDF files

MCP Server for converting markdown to PDF