Hmk Box MCP Server

The Hmk Box MCP Server bridges the gap between AI assistants and the Box cloud storage ecosystem. By exposing a lightweight Model Context Protocol (MCP) interface, it allows Claude and other AI agents to perform secure file operations—searching for documents and reading their contents—directly from a Box account. This eliminates the need to write custom integrations or handle OAuth flows manually, making it especially valuable for developers who want rapid access to Box data within conversational AI workflows.

At its core, the server authenticates via a Developer Token supplied by Box. Once authenticated, it offers two primary capabilities: searching files and reading files. The search function supports full-text queries against the Box metadata store, returning structured results that the AI can ingest and reference. The read function pulls document contents in supported formats such as PDF and Word, converting them into plain text that the assistant can process. This tight coupling of search and read simplifies common use cases like “find the latest project proposal” or “summarize the contents of a PDF briefing.”

Key features include:

• Developer‑token authentication: A straightforward, token‑based approach that works out of the box with Box’s developer console.
• Format support: Native parsing for PDFs and Word documents, ensuring high‑quality text extraction without external dependencies.
• Extensible design: The MCP server can be extended to support additional Box file types or more advanced query options as needed.
• Node.js implementation: Built on modern JavaScript (v22+) with npm tooling, making it easy to integrate into existing Node ecosystems or CI pipelines.

Typical real‑world scenarios involve:

• Enterprise knowledge bases: An AI assistant can pull policy documents or compliance reports from Box, answer employee questions, and keep information up‑to‑date.
• Content creation pipelines: Writers or marketers can query Box for draft assets, retrieve the latest versions, and feed them into generative models for editing or summarization.
• Data‑driven decision making: Analysts can ask the AI to locate and summarize financial reports stored in Box, accelerating insights without leaving the chat interface.

Integration into AI workflows is seamless. Once the MCP server is registered in an assistant’s configuration, developers can invoke its tools via standard MCP calls— or . The assistant then receives structured results, which it can pass to downstream prompts or use as context for further reasoning. Because the server handles authentication and data extraction internally, developers can focus on crafting richer conversational experiences rather than plumbing Box’s API.

In summary, the Hmk Box MCP Server provides a focused, developer‑token‑based bridge to Box’s file repository. Its search and read capabilities, combined with straightforward integration into AI assistants, empower teams to unlock the full value of their Box data within conversational applications.