Document Reader

PDF Manipulation

Utilizing Python libraries, this protocol seamlessly incorporates functions for handling PDF documents, allowing for tasks such as merging, extracting, and retrieving content based on document context.

PDF Extraction

Efficiently analyze and index document content by utilizing Python libraries for text extraction and OCR on PDF files. Optimize your document processing with advanced tools for seamless document analysis.

Excel Reader

Enhance your Excel experience by seamlessly connecting and optimizing the handling of extensive spreadsheet data using automated segmentation and page organization within the Model Context Protocol (MCP).

Docling

Unlock powerful document processing features by connecting seamlessly with the Docling library. From converting files to markdown and extracting tables to handling images with OCR functionality, this model context protocol streamlines the analysis of diverse document types, organized or random.

Readwise Reader

Access your favorite content seamlessly with the innovative FastMCP framework, enabling synchronization with Readwise Reader across various sections like new, feed, archive, and library, all based on custom time settings.

DICOM

Facilitates connectivity with healthcare imaging platforms via DICOM network standards to access patient data, study details, image series, and instances, including text extraction from embedded PDF files.

PDF Reader

Enhance your PDF content management with a cutting-edge Model Context Protocol (MCP) that efficiently extracts and manages text, images, and offers OCR services. Benefit from high-performance caching for seamless operations.

Document Forge

Discover a cutting-edge Model Context Protocol (MCP) that seamlessly merges various document processing tools. Unlock the ability to extract, convert, and edit content in a wide range of file types like PDF, DOCX, HTML, CSV, and EPUB. Gain efficiency and flexibility in managing diverse document formats with this innovative MCP solution.

Box

Unlock the potential of seamless integration with Box cloud storage, empowering swift access, exploration, and manipulation of PDFs and Word files. Ideal for streamlining tasks such as automated document scrutiny and information extraction.

PDF Reader

Efficiently retrieve textual content, metadata details, and page specifics from PDF documents in a project folder by leveraging pdfjs-dist for processing local files and online links.

Nutrient Document Web Services

Unlock advanced PDF editing features, electronic signatures, and versatile file handling functions for various document types including Microsoft Office files and images through seamless integration with the Nutrient Document Web Services API. Elevate your document management workflow with the Model Context Protocol.

PDF Reader

Unlock the capability to access and retrieve information from both secured and unsecured PDF documents with the Model Context Protocol (MCP). This protocol empowers users to analyze documents, index content, and extract data seamlessly.

PDF Search

Enhance Zed's search capabilities on PDF files with a powerful combination of Qdrant vector database and OpenAI embeddings for advanced semantic indexing.

Docling

Utilizing IBM's Docling technology, this protocol seamlessly transforms diverse document types into uniform Markdown format, facilitating streamlined document handling and analytical processes.

Excel Reader

Easily connects with Excel spreadsheets to extract and analyze data, streamlining tasks for automated reporting and in-depth insights.