Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

This project is an integrated MCP server suite with various functions, including media tools, information retrieval, PDF generation, and presentation creation services, which need to be configured and run separately.

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

An MCP server based on FastAPI that automatically fetches, summarizes, and pushes Reddit content to Slack. The system uses Azure OpenAI to generate summaries of posts from selected sub - reddits, organizes them into PDF reports, and shares them with the team.

The enhanced Markdownify MCP UTF-8 is a Markdown processing service that supports multilingual content conversion. It optimizes UTF-8 encoding support, provides Markdown conversion capabilities for various formats such as PDF, images, audio and video, and Office documents, and is specifically optimized for the Windows system.

A service implementation for retrieving data such as PDF from AWS S3 via the MCP protocol

The PDF Reader MCP service provides AI agents with a secure and flexible function to extract content from PDF files, including text, metadata, and page count information. It supports local and remote PDF files and is easy to integrate into the MCP environment.

An MCP server designed for Claude Desktop Edition, capable of scraping web page text, YouTube video subtitles, and PDF file content via links.

Deep Research is an agent - based tool that provides web search and advanced research functions, supports PDF analysis, image description, and YouTube transcription extraction, and can run as an MCP server.

A PDF form processing toolkit based on MCP and PyMuPDF, providing PDF file search, form field extraction, and visualization functions.

A high-performance PDF to Markdown service based on MCP, supporting batch processing of local files and URLs, retaining the document structure and intelligently optimizing the output.

Zed's PDF semantic search extension, integrating an AI assistant to enhance document processing capabilities

An MCP server for converting Markdown documents to PDF files, supporting syntax highlighting and custom styles

This project is a USPTO patent data access server based on FastMCP. It supports accessing patent and patent application data from the United States Patent and Trademark Office through the Patent Public Search API and the Open Data Portal API, providing patent search, full - text retrieval, PDF download, and metadata query functions for MCP clients such as Claude Desktop.

This project builds an HR chatbot based on RAG. The MCP server serves as the functional call center to implement PDF document upload, parsing, retrieval, and natural language question answering functions.

A high-performance PDF to Markdown service based on MCP, supporting batch processing and structured output

A high-performance local RAG system based on Rust, integrated with Claude Desktop via the MCP protocol to achieve local processing, semantic search, and privacy protection of PDF documents.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.

Zotero MCP is a tool that connects the Zotero research library with AI assistants such as Claude. It realizes functions such as paper search, summary generation, citation analysis, and PDF annotation extraction through the Model Context Protocol.

This project builds a RAG-based HR chatbot. Through the MCP server as the function call center, it realizes the functions of PDF document uploading, parsing, retrieval, and natural language Q&A.

MCP Server PDF Processing Service

A basic MCP server for interacting with PDF and EPUB documents.

The Upstage MCP Server is a server that connects AI assistants with the Upstage AI document processing API. It supports extracting structured content from PDFs, images, and Office files and integrates with MCP clients such as Claude Desktop.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

A PDF tool server based on the MCP protocol, providing PDF operation functions such as merging and extracting.

A PDF form processing toolkit based on MCP and PyMuPDF

A paper retrieval and content parsing tool based on arXiv, supporting intelligent search, PDF acquisition, and content parsing functions, with a special focus on the latest papers in the AI field.

A PDF reading service based on the MCP protocol, supporting text content extraction from local files and URLs, providing error handling and standardized output.

PDF Content Extraction Service

A PDF to PNG service tool based on the MCP protocol

The Nutrient DWS MCP Server is a model context protocol server integrated with the Nutrient Document Web Service processor API, providing powerful PDF processing functions for AI assistants, including digital signatures, document generation, editing, OCR, watermarking, redaction, and other operations.

The MCP Development Framework is a powerful toolset for interacting with large language models, providing functions such as file processing (PDF/Word/Excel) and web content retrieval. It supports Cursor IDE extension and has technical features such as intelligent file identification, efficient processing, and memory optimization.

A PDF to PNG service based on the MCP protocol, providing simple and efficient document conversion functions.

Ebook-MCP is an e-book processing server based on the Model Context Protocol (MCP), supporting EPUB and PDF formats, providing intelligent book management, interactive reading experience, and learning assistance functions to achieve natural language interaction with e-books.

Rember MCP is an official protocol service that allows Claude to create flashcards, helping users memorize content through spaced - repetition review. It supports generating flashcards from chats or PDFs and provides API and desktop client integration.

A server based on the Model Context Protocol (MCP) that provides access to clinical guidelines from the National Comprehensive Cancer Network (NCCN). This system ensures the accuracy and reliability of medical guidance by directly reading the PDF content of the guidelines instead of using RAG technology.

An MCP server that provides document operation functions for Claude Desktop, supporting the creation, editing, and conversion of Word, Excel, and PDF files.

An MCP server that provides document operation functions for Claude Desktop, supporting the creation, editing, and format conversion of Word, Excel, and PDF files.