Unlocking Your Data using AI with Box Extract & MCP Server

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Join us for a technical deep-dive into using the Box Platform to intelligently ingest documents and make content available to 3rd party systems and agents with MCP.

We’ll start by exploring agentic data extraction and document processing. Learn how to use the Extract API to process unstructured documents and extract actionable structured data for downstream systems and systems of record.

Next, we’ll demonstrate integrating the Box Model Context Protocol (MCP) server into your AI stack. Discover how to bridge local LLM tools with enterprise content, giving AI agents secure, real-time access to Box files for a more intelligent and responsive agentic experiences.

Key takeaways:

How to use the Box Extract API: learn how to create metadata templates and extract structured data from documents at scale.
Connecting and leveraging Box MCP: learn how to connect AI agents like ChatGPT and Claude to your Box content.
Source code and resources: you’ll leave with example code, step-by-step tutorials, and best practices drawn from real customers.

Speakers

Carter Rabasa

Head of Developer Relations, Box
Andrew Wong

Senior Developer Relations Engineer, Box