How to Use the Arbox MCP in AutoGen

Q: How do I register the Arbox MCP Server with AutoGen?

Use mcpservertools with your Vinkius HTTP URL to fetch the gym tools. Pass the resulting list directly to your AssistantAgent constructor to give your agents access.

Q: How do AutoGen agents evaluate Arbox sales leads?

Your agents pull lead profiles using listleads and discuss their potential value. A sales agent and a marketing agent negotiate the best membership tier to pitch based on the lead's history.

Q: How secure is my Arbox sales pipeline data in AutoGen?

Your studio's sales leads retrieved by listleads are never stored or logged outside your local environment. AutoGen agents process the pipeline data strictly in memory during their debate, keeping prospect details confidential.

Let your AutoGen agents debate schedule conflicts and qualify Arbox sales leads without manual intervention.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Arbox MCP to AutoGen

Create your Vinkius account to connect Arbox to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Arbox with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Resolve studio scheduling conflicts in AutoGen

The `list_schedule` tool exposes your daily class lineup to your AutoGen agent group. A scheduling agent checks for room double-bookings. Meanwhile, a coach agent reviews trainer availability via `list_coaches`. If a conflict arises, the agents debate the best resolution based on class popularity. They negotiate a solution quickly. The updated schedule appears without you having to manually cross-reference calendars.

Validate Arbox sales leads through multi-agent debate

The `list_leads` tool pulls active prospects from your CRM pipeline directly into your AutoGen conversation. A sales agent analyzes the lead details. Meanwhile, a finance agent evaluates membership options using `list_memberships`. The agents discuss which membership tier fits the lead's profile. Once they reach a consensus, they output a tailored follow-up strategy. This keeps your sales team focused on high-value prospects.

Analyze member engagement using this MCP Server

This Arbox MCP Server lets your AutoGen agents access member profiles using `search_members` to check attendance. A retention agent flags low-scoring members. Meanwhile, a marketing agent suggests targeted promotions using `list_products`. By debating the member's purchase history, the agents agree on a personalized incentive. You get a well-deliberated action plan. This beats sending a generic automated email.

Setup guide

Set up Arbox MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Arbox tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Arbox_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Arbox data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Arbox_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Arbox data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arbox. 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.

Connect Arbox now

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 Arbox MCP in AutoGen

Use `mcp_server_tools` with your Vinkius HTTP URL to fetch the gym tools. Pass the resulting list directly to your `AssistantAgent` constructor to give your agents access.

Yes, you can set up a scheduling agent and a coaching agent to review class availability via `list_schedule`. They will discuss conflicts and propose optimized times before making changes.

Your agents pull lead profiles using `list_leads` and discuss their potential value. A sales agent and a marketing agent negotiate the best membership tier to pitch based on the lead's history.

Yes, the adapter handles schema conversion automatically over Streamable HTTP. Your agents can query gym metrics in real time during their collaborative discussions.

Your studio's sales leads retrieved by `list_leads` are never stored or logged outside your local environment. AutoGen agents process the pipeline data strictly in memory during their debate, keeping prospect details confidential.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript