Webinar: How to Use Unstructured with Model Context Protocol (MCP) скачать в хорошем качестве

Webinar: How to Use Unstructured with Model Context Protocol (MCP)

Learn how to build an MCP server that connects LLMs to Unstructured’s data processing tools—standardizing context delivery, enabling seamless workflows, and making your unstructured data RAG-ready. Imagine telling Claude to preprocess your unstructured data, making your documents RAG-ready. Or seamlessly asking it questions about any document—without worrying about file type limitations. How would you make that possible? Unstructured provides all the tools you need for data processing, but how can Claude Desktop, Cursor, or your LLM agent access and use them? That’s where the Model Context Protocol (MCP) comes in. In this webinar, we'll walk through building an MCP server that integrates with the Unstructured API. You'll learn the fundamentals of MCP architecture, explore Unstructured’s capabilities, and follow a step-by-step implementation guide. While this webinar doesn’t cover full MCP integration, it provides a solid foundation to get you started. Join the Unstructured team for a deep dive into Model Context Protocol (MCP) and how it enables seamless integration between LLMs and Unstructured’s data processing tools. This session will walk you through the fundamentals of MCP, step-by-step server implementation, and how to use it to streamline your AI workflows. In this session, we discuss: What Model Context Protocol (MCP) is and why it matters for LLM workflows How MCP standardizes data access and enhances interoperability between AI tools The key components of an MCP server and how to build one How to integrate MCP with the Unstructured API for automated document processing Best practices for running and deploying an MCP server