How to Use the Box MCP in OpenAI Agents SDK
Bring your Box files into your OpenAI Agents SDK workflow to manage content through direct, validated tool execution.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Box MCP to OpenAI Agents SDK
Create your Vinkius account to connect Box to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated Box content management
Your agent can now handle file structure without manual input. Use `create_folder` to build out project directories or `delete_folder` to prune old, empty workspaces. Everything happens through the OpenAI Agents SDK runtime. Your agent triggers the specific tool, and the result returns straight to your execution loop.
Granular Box permission control
Stop worrying about who sees what in your storage. The `create_collaboration` tool lets you assign roles like editor or viewer to specific users with a single function call. This MCP Server handles the handshake so your agent stays focused on the task. You define the logic, and the server executes the secure API request.
Search and audit files with OpenAI Agents SDK
Locate lost documents by passing queries to `search_content` instead of digging through the web interface. You get exact metadata back to confirm you have the right file. Use `get_file_info` to pull hashes and size data for your audit logs. It keeps your agent informed about the state of every document in your account.
Set up Box MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Box tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Box tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Box tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Box Agent",
instructions="You have access to Box tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Box. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Box MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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