How to Use the BoxHero MCP in OpenAI Agents SDK
Run production-grade inventory agents that modify BoxHero stock using the OpenAI Agents SDK and guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BoxHero MCP to OpenAI Agents SDK
Create your Vinkius account to connect BoxHero 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.
Safe inventory updates with OpenAI Agents SDK
The `create_transaction` tool logs stock movements directly inside your BoxHero account. Your Python agent executes this tool only after passing your SDK-defined validation guardrails, preventing accidental stock double-entry in production. This MCP setup lets your agent inspect current stock levels using `list_items` before it triggers any changes. You track the entire execution path and tool calls live on your OpenAI developer dashboard.
Multi-agent handoffs for warehouse routing
The `list_locations` tool retrieves your physical storage zones so specialized routing agents can coordinate where items go. One agent queries the locations, while another handles the actual updates via `update_item`. Because the OpenAI Agents SDK supports clean handoffs, you do not have to write complex logic to switch contexts. The routing agent hands off the payload to the execution agent, which then runs `create_item` to initialize new stock arrivals.
Automated stock verification and audits
The `list_transactions` tool pulls historical stock logs so your agent can audit past changes without manual export steps. Your agent compares actual quantities against your database records, flagging discrepancies instantly. By connecting this MCP Server to your production pipeline, you get real-time auditing. The agent uses `get_item` to inspect specific SKU details and updates the catalog using `update_item` when it detects mismatched data.
Set up BoxHero 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 BoxHero tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives BoxHero tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate BoxHero 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="BoxHero Agent",
instructions="You have access to BoxHero 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 BoxHero. 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.
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Common questions about BoxHero MCP in OpenAI Agents SDK
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