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Arbox MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Book Class, Check Arbox Status, Create Client, and more

Built by Vinkius GDPR 14 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Arbox through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The Arbox app connector for OpenAI Agents SDK is a standout in the Customer Relationship Management category — giving your AI agent 14 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Arbox Assistant",
            instructions=(
                "You help users interact with Arbox. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Arbox"
        )
        print(result.final_output)

asyncio.run(main())
Arbox
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Arbox MCP Server

Connect your Arbox account to any AI agent and take full control of your fitness business management and automated lead engagement workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 14 tools from Arbox through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Arbox, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Client & Lead Orchestration — List and manage your active member directory programmatically, or create new high-fidelity lead profiles directly from your chat interface
  • Class Schedule Intelligence — Access your high-fidelity class schedules and available training sessions in real-time to coordinate member bookings perfectly
  • Administrative Task Management — Programmatically create follow-ups and operational tasks for your front-desk staff to ensure a perfectly coordinated facility
  • Relationship Intelligence — Retrieve complete high-fidelity profiles for any client or prospect to maintain a perfectly coordinated relationship ecosystem
  • Operational Monitoring — Access organization-level metadata and verify account connectivity directly through your agent for instant performance reporting

The Arbox MCP Server exposes 14 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 Arbox tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Arbox through Vinkius, your AI agent gets direct access to every tool listed below — spanning gym-management, class-scheduling, membership-billing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

book_class

Book a class

check_arbox_status

Verify connectivity

create_client

Create a member

create_lead

Create a lead

create_task

Create a task

get_client

Get member details

get_lead

Get lead details

get_schedule

Get schedule

list_classes

List classes

list_clients

List members

list_leads

List leads

list_memberships

List memberships

list_tasks

List tasks

update_client

Update a member

Connect Arbox to OpenAI Agents SDK via MCP

Follow these steps to wire Arbox into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 14 tools from Arbox

Why Use OpenAI Agents SDK with the Arbox MCP Server

OpenAI Agents SDK provides unique advantages when paired with Arbox through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Arbox + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Arbox MCP Server delivers measurable value.

01

Automated workflows: build agents that query Arbox, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Arbox, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Arbox tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Arbox to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Arbox in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Arbox immediately.

01

"List all active clients in my Arbox member directory."

02

"Show the class schedule for today."

03

"Create a new lead 'John Doe' (john@example.com) and set a follow-up task."

Troubleshooting Arbox MCP Server with OpenAI Agents SDK

Common issues when connecting Arbox to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Arbox + OpenAI Agents SDK FAQ

Common questions about integrating Arbox MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.