Upload and download binary with MCP: How Box solved the last mile of agentic file editing
Blog post from Box
The text explores the challenges and solutions related to enabling AI agents to manage binary files in enterprise environments without involving the LLM context window, focusing on issues such as context bloat, payload limits, latency, and data corruption associated with base64 encoding. By implementing a system that uses temporary, single-use signed URLs for direct file transfers between Box storage and local execution environments, the architecture bypasses these problems, ensuring secure, compliant, and efficient file handling. This approach not only preserves the integrity and security of the data but also maintains comprehensive audit trails through OAuth session binding and admin opt-in controls, allowing enterprises to exercise granular control over this capability. The integration of signed URL tools into the Box MCP server enables AI agents to perform complex workflows like editing and re-uploading documents at scale, closing the gap between static and live files while maintaining robust enterprise governance.
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