How to Use the Craftboxx MCP in OpenAI Agents SDK

Connect Craftboxx to your OpenAI Agents SDK production pipeline to manage field operations and inventory with built-in guardrails.

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Connect Craftboxx MCP to OpenAI Agents SDK

Create your Vinkius account to connect Craftboxx 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.

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Setup Craftboxx with OpenAI Agents SDK

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Full order management for OpenAI Agents SDK

Your agent uses `create_order` and `get_order_details` to handle job intake directly from your application flow. It validates every request against your production schema before sending data to your ERP. This MCP Server provides the hooks necessary to maintain state across your agent system. You get reliable execution without manually parsing API responses.

Real-time resource tracking

Call `list_vehicles_resources` or `list_materials` to feed live inventory data into your decision logic. Your agent tracks what is available on-site versus what is in the warehouse. Keeping these metrics synchronized prevents scheduling conflicts. Your agent makes smarter decisions because it pulls directly from the source of truth.

Team and appointment oversight

Monitor your field operations by invoking `list_appointments` and `list_employees`. Your agent processes these lists to optimize daily schedules and assign tasks efficiently. Everything stays organized within your agent's context window. You avoid manual lookups and keep your team informed with up-to-date data.

Setup guide

Set up Craftboxx MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Craftboxx tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Craftboxx tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Craftboxx tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Craftboxx Agent",
            instructions="You have access to Craftboxx tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Craftboxx. 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 Craftboxx MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with the provided endpoint. Pass this server instance into your Agent constructor to enable automatic tool discovery.

Yes. You can implement custom validation logic within your agent's execution flow to check tool outputs. This ensures Craftboxx remains consistent with your internal standards.

The server provides the data, and your agent framework handles the handoffs. You define the routing logic, while this MCP Server delivers the raw business data needed for the next agent.

The server returns an error code that your agent catches immediately. You should configure your agent to retry or alert you based on the specific failure type.

Your customer names, order history, and employee contacts remain within your secure environment. This MCP Server acts as a bridge, ensuring data only moves when your agent explicitly requests it.

Use it with your favorite AI tools

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