Modernized API documentation reduces friction by integrating testing tools and AI assistance directly into the workflow. Support for MCP allows developers to use their own AI agents with live documentation, significantly accelerating the integration and debugging process.
We're excited to announce that our modernized Dropbox API documentation is now live at https://docs.dropboxapi.com.
We've rebuilt our API reference to make integrating with Dropbox faster and more intuitive.
Test endpoints directly in the documentation. No more switching between docs and separate testing tools. You can set parameters, issue API calls, and see real responses from the Dropbox API right in your browser.
Get instant help with the embedded AI assistant. Ask questions about endpoints, troubleshoot issues, or get code examples without leaving the page.
Connect compatible AI tools directly to our documentation through MCP (Model Context Protocol) using the MCP server. This gives your AI assistant access to up-to-date Dropbox API documentation right where you work, so it can answer questions, help you explore the API, and assist with integrations using information directly from our docs.
To access the MCP server, use the "Connect to Claude Code" or "Connect to Cursor" actions in the API Reference pages, or connect to the MCP server at: https://docs.dropboxapi.com/_mcp/server
Explore the Dropbox API through a clean, responsive interface that brings endpoints, types, schemas, and related documentation together in one place. Improved navigation and search make it easier to find the right endpoint or parameter, jump between related resources, and discover the information you need without digging through multiple pages.
Access comprehensive information including detailed error responses, type definitions, and full request/response schemas.
This is a major update to how we serve our developer community, and we want to make sure it meets your needs.
Tell us what you think:
Please share your feedback in the Dropbox Developer Forum. Your insights will help us build better tools for the entire developer community.
Visit https://docs.dropboxapi.com to explore the new documentation, try out the new features, and then let us know what you think.
Thanks for building with Dropbox!
The Dropbox API Platform Team
Continue reading on the original blog to support the author
Read full articleIntegrating LLMs into complex systems requires balancing flexibility with reliability. Reclaim's approach demonstrates how to use standardized action interfaces and dry-run previews to safely add natural language capabilities without duplicating or breaking core business logic.
As AI-generated code reaches 70% at scale, the focus shifts from simple adoption to managing infrastructure strain and workflow bottlenecks. Engineers must transition from manual coding to high-level problem solving and agent orchestration to maintain quality and impact.
Maintaining privacy compliance at scale is difficult due to dynamic web content and evolving regulations. This automated approach ensures consistent enforcement of user preferences across hundreds of surfaces, reducing manual QA and preventing accidental data leaks.
Riviera demonstrates how to build a scalable, modular content processing system that avoids technical debt through reusable transformations. It provides a blueprint for preparing unstructured data for AI applications, now accessible to external developers via API.
