Box AI API is available to all Enterprise Plus and Enterprise Advanced customers.

Get a summary

Summarize a document in a selected tone of voice.

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Extract metadata

Extract document metadata suggestions in the freeform mode.

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Extract structured metadata

Extract document metadata suggestions in the structured mode.

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These resources will get you up and running with Box AI API.

AI API reference

Check the API reference for specification details.

Documentation

Developer guides

Browse the guides to learn how to use Box AI API.

Documentation

Supported AI models

Check table list of the supported AI models.

Documentation

Support

Visit Box Developer Community for support and knowledge sharing.

Community

Use Box for AI Integrations to extend LLM models' existing knowledge bases.

Remote Box MCP Server

The remote Box MCP Server allows third party AI systems to securely connect and interact with your content in Box.

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MCP

Self-hosted Box MCP Server

A Python Developer Community open source project. It integrates with the Box API to perform various operations such as file search, text extraction, AI-based querying, and data extraction.

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MCP

Openflow Connector for Box

Seamlessly connect unstructured content in Box with the powerful analytics capabilities of Snowflake, unlocking new insights and automating data-driven workflows.

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Connector

Box AI Agents Toolkit

Get started with a Python library for building AI agents for Box.

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Pydantic AI and Box MCP

Use the Box MCP server to augment Pydantic AI agents with secure content in Box.

Demo

Airbyte

Transform unstructured documents into structured, queryable data by using the “Box data extract”, an Airbyte source connector.

Integration

OpenAI

Use OpenAI Responses API and a Box Agent to add unstructured data from your Box instance into your agentic workflows.

Integration

Weaviate

Build RAG workflows by embedding Box content into a Weaviate vector database and leveraging Weaviate's new Query Agent.

Integration

LlamaIndex

Enable access to Box content within LLM workflows with Box reader suite for LlamaIndex.

Integration

LangChain

Include Box content in your LLM workflows with Box loader for LangChain.

Integration

Pinecone

Connect Box and Pinecone to customize vector embeddings and get more relevant answers from LLM.

Integration

Watch the latest Box AI API tutorials and demos.