AI Agents with Box and Google MCP Toolbox for Databases
Blog post from Box
AI agents are increasingly able to utilize multiple data sources, including both structured and unstructured data, to make informed decisions, with tools like Box providing security and context for sensitive data. This dynamic is exemplified by a project that integrates Google’s MCP Toolbox for Databases and Box AI Agent Toolkit to build an AI agent capable of extracting data from mortgage applications stored in Box and compiling property abstracts using a PostgreSQL database. The setup involves configuring a PostgreSQL database with tables to store property-related data, utilizing Box's APIs to extract and manage content, and employing AI tools to generate comprehensive property reports. The integration demonstrates the potential for combining structured data from databases with unstructured data from storage solutions like Box, enhancing the ability of AI agents to perform complex data analysis and reporting tasks.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.