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 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.

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

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

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.

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

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.

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.

MCP Server PDF Processing Service

Academia MCP is an MCP server designed for academic research. It provides tools for searching, retrieving, analyzing, and reporting scientific papers and datasets. It supports platforms such as ArXiv, ACL Anthology, and Hugging Face, and includes functions like web page crawling, LaTeX compilation, PDF reading, and LLM enhancement.

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.

A PDF form processing toolkit based on MCP and PyMuPDF

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.

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.

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 framework for creating custom tools to interact with large language models. It provides functions such as file processing and web content retrieval, supports multiple formats such as PDF, Word, and Excel, and has technical features such as intelligent recognition, efficient processing, and memory optimization.

Auto - Snap MCP is an automated screenshot and document processing tool that can automatically convert screenshots to PDF. It supports operations through natural language commands and is suitable for various system environments.

The PDF.co MCP Server is a tool that provides PDF processing functions through the Model Context Protocol, supporting various operations such as PDF conversion, editing, searching, security protection, and file management.

A lightweight MCP server project for loading local PDF files, extracting and chunking content, building semantic search indexes, and sending relevant paragraphs to Claude Desktop for document-based Q&A.

This is a server project that complies with the MCP protocol standard, providing AI - driven document generation services, supporting multiple formats such as PDF, Word, PPT, and Excel. It has functions such as asynchronous processing, image embedding, and layout verification, and can be integrated into various AI hosts.

A project for parsing the key content of Media Kit PDF files in the advertising and marketing industry, achieving automated processing through integration with the MCP service.

The PDF MCP Service is a Python-based PDF processing service that provides a quick start and configuration guide.

This is an implementation of the scientific search MCP protocol designed for the Cursor editor, integrating multiple academic search engines (such as Google Scholar, PubMed, arXiv, etc.), supporting Semantic Scholar search through Tor, and providing functions such as PDF processing.

A PDF toolkit based on the MCP framework, providing functions such as merging, metadata extraction, and text processing for local and remote PDF files.

An MCP server for converting PDF to Markdown format based on AI sampling, supporting local file and URL conversion, incremental processing, and configurable output directories

The project includes both MCP and REST APIs. The MCP interface serves clients such as Claude, and the REST interface is used for reports and automation tasks. Current functions include mailbox search and OCR processing. The next step is to implement PDF attachment processing and structured output.

A powerful electric vehicle service management server that provides comprehensive services such as charging station location, trip planning, and resource management.

This project implements an MCP server based on the Pinecone vector database, supporting read and write operations on vector data, capable of processing PDF and Confluence data, and providing functions such as document search, vector addition, bulk processing, and data deletion.

A PDF processing server based on the MCP protocol, supporting text and LaTeX mathematical formula extraction from PDFs, and capable of integrating with Claude for document analysis.