Skip to main content

This page features quick start guides, sample code, and tools for building AI agents and intelligent workflows. Explore use cases, get hands-on experience with Box AI API, and build agents with Box AI Studio.

​
Follow quick starts

Box AI API is available to all customers Business and above.

Summarize a document

Use natural language, or pass a stringified data structure to extract metadata from documents

Extract document metadata suggestions with Box metadata templates

Use Box AI Enhanced Extract Agent

​
Documentation

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

Box AI API reference

Get started with Box AI API

Supported AI models

Override AI model configuration

​
MCP Servers

These resources will get you up and running with Box MCP server.

Remote Box MCP server

Self-hosted Box MCP server

Online course: Build AI Apps with MCP Servers

Box MCP server and Pydantic AI

Box MCP server and LangChain MCP Adapters

​
AI agents

Learn how to create advanced AI agents with Box.

Manage agents with Box AI Studio API

Box for Agentforce Extension package

Multi-agent workflows with Box and OpenAI

Box AI Agents Toolkit

​
Box for AI Integrations

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

Box loader for LangChain.js

Snowflake Openflow Connector for Box

Box source connector for Airbyte

Connect Box and Weaviate

Connect Box and Pinecone

Build RAG workflows Box andLlamaIndex

Build RAG workflows with Box and LangChain

Pydantic AI and Box MCP