AI Agent for Ebook-MCP
Integrate AI-powered e-book processing into your workflow with Ebook-MCP. Built on the Model Context Protocol, Ebook-MCP connects your digital library to advanced LLM applications. Enable natural language queries, smart library management, and interactive reading experiences for EPUB and PDF files—all through robust, standardized APIs. Unlock a new level of knowledge extraction, content navigation, and active learning from your electronic books.
Seamless E-Book Processing for LLM Apps
Ebook-MCP provides standardized APIs for EPUB and PDF processing, enabling AI agents to extract metadata, navigate content, and deliver insights directly from digital book collections. Connect your e-book repository to AI-powered IDEs and automate content retrieval, chapter extraction, and more—all from natural language commands.
- EPUB & PDF Metadata Extraction.
- Automatically extract author, title, and publication details from your digital books for easy cataloging and search.
- Content Navigation.
- Use natural language to jump to chapters, sections, or topics across your e-book library.
- Batch File Processing.
- Process multiple EPUB and PDF files simultaneously to streamline library management.
- Conversational Queries.
- Enable dialogue-based queries with your books, from summarization to quiz generation.
AI-Powered Interactive Reading & Learning
Transform reading into an active experience. Ebook-MCP lets users converse with their digital books, generate quizzes, summarize chapters, and ask in-depth questions—all powered by seamless integration with LLMs. Enhance comprehension, retention, and engagement through personalized, intelligent agent interactions.
- Quiz & Active Recall Generation.
- Generate custom quizzes and exercises based on your reading material for better knowledge retention.
- Instant Summarization.
- Request concise summaries or detailed explanations of chapters, sections, or specific concepts.
- Natural Language Navigation.
- Simply ask to find, jump to, or review any topic, chapter, or section in your collection.
Robust Architecture & Developer-Friendly APIs
Ebook-MCP’s layered architecture ensures reliability and flexibility. Benefit from a powerful combination of file parsing, chapter extraction, and AI-driven dialogue—all accessible through a modern API suite. Integrate with popular IDEs, automate workflows, and build custom solutions for digital book management and AI enrichment.
- Standardized API Suite.
- Leverage robust APIs for EPUB and PDF file operations, metadata extraction, and content retrieval.
- Modular Tool Layer.
- Benefit from distinct tool layers for chapter extraction, translation, and content generation.
- Developer Flexibility.
- Integrate with AI IDEs like Cursor and Claude, or build custom LLM-powered solutions on top of Ebook-MCP.
MCP INTEGRATION
Available Ebook-MCP MCP Integration Tools
The following tools are available as part of the Ebook-MCP MCP integration:
- get_all_epub_files
List all EPUB files available in a specified directory for batch processing or library management.
- get_metadata
Extract metadata such as title, author, and publication date from an EPUB file.
- get_toc
Retrieve the structured table of contents from an EPUB file to support navigation.
- get_chapter_markdown
Get the content of a specific EPUB chapter as Markdown for flexible reading or processing.
- get_all_pdf_files
List all PDF files in a directory, enabling batch imports and processing of PDF documents.
- get_pdf_metadata
Extract metadata from a PDF file, including title, author, and creation date.
- get_pdf_toc
Retrieve the table of contents from a PDF file for structured navigation.
- get_pdf_page_text
Extract plain text content from a specified page of a PDF file.
- get_pdf_page_markdown
Get Markdown-formatted content from a specific page in a PDF document.
- get_pdf_chapter_content
Extract the content and page numbers for a specific chapter in a PDF file.
Connect Your Ebook-MCP with FlowHunt AI
Connect your Ebook-MCP to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is Ebook-MCP
Ebook-MCP, developed by Onebird, is a powerful Model Context Protocol (MCP) server designed for processing electronic books. Built on the Model Context Protocol, it provides a standardized set of APIs that enable seamless integration between LLM (Large Language Model) applications and e-book processing capabilities. Ebook-MCP supports mainstream eBook formats like EPUB and PDF, allowing users to leverage advanced AI features with their digital libraries. The platform empowers users to have natural language conversations with their reading materials, manage eBook libraries intelligently, and extract meaningful insights and knowledge from digital books. By bridging traditional e-books with AI, Ebook-MCP transforms how users read, learn, and interact with electronic literature.
Capabilities
What we can do with Ebook-MCP
With Ebook-MCP, users and developers can harness AI to revolutionize the way they interact with digital books. The server offers advanced capabilities that allow for smart library management, natural language queries, and active learning experiences, all powered by LLMs.
- Smart Library Management
- Search and organize eBooks using natural language queries like 'Show me all EPUB files in my downloads folder'.
- Interactive Reading Experience
- Have conversations with your books—ask for summaries, chapter details, or key points from any section.
- Active Learning Support
- Generate quizzes, practical exercises, or explanations based on the content of your eBooks.
- Content Navigation
- Navigate books with ease using commands like 'Find all sections on prompt engineering' or 'Show chapters about fine-tuning'.
- Seamless LLM Integration
- Effortlessly connect your eBook collection with AI-powered IDEs and applications for enhanced productivity.
How AI Agents Benefit from Ebook-MCP
AI agents can leverage Ebook-MCP to provide users with rich, conversational access to their eBook libraries. By integrating with Ebook-MCP, agents can summarize content, answer questions, generate exercises, and help users navigate large volumes of digital text efficiently. This enables a wide range of applications in education, research, and personal knowledge management, transforming static eBooks into interactive, AI-enhanced resources.