Hey Box AI Dev Community,
I'm an independent dev working on Box AI integrations & looking to test some of advanced AI features for potential enterprise implementations. Currently hitting some access limitations blocking my dev work.
What I'm trying to test:
- MCP (Model Context Protocol) integration w/ Box
- Enhanced Extract Agent functionality
- Box AI Studio configurations
- General AI agent dev workflows
Access barriers I'm encountering:
- Need AI Model permissions enabled
- Enhanced Extract endpoint access
- Enable Box AI in Admin Console setting
- 2FA requirements for certain AI features
- Box AI Studio access (if available for dev)
Questions for the community:
- Has anyone successfully gotten developer/sandbox access to these enterprise AI features?
- Is there a specific process for requesting elevated permissions for testing purposes?
- Any workarounds or alternative approaches for evaluating Box's AI capabilities?
I understand these are typically enterprise-level features, but hoping there might be developer access paths I'm missing. Also interested in connecting with others building on Box's AI platform.
Any guidance or shared experiences would be appreciated!
Background: Working on educational content and integration testing for Box's AI ecosystem, particularly around MCP protocol implementations and agentic workflows.
Thanks, Robert
