Building a reusable metadata extraction Agent Skill with Box MCP and Box AI

Extracting metadata from documents stored in Box is streamlined through a template-driven Agent Skill that utilizes Box AI and Model Context Protocol (MCP) tools to automate the process. The Agent Skill, defined in a reusable SKILL.md file, allows for efficient extraction and writing of metadata by using a simple command to interact with Box's system of record, ensuring that workflows are reusable and scalable across various document types and metadata templates. This method avoids the need for custom API clients or glue code, focusing instead on declarative workflows that maintain Box as the central repository, ensuring metadata fields are populated without overwriting existing data. Once installed, this skill can be executed within a Cursor chat environment, allowing for a dry run to validate logic before applying metadata updates, and provides a structured approach to metadata extraction that enhances search, automation, and downstream processes within Box.

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