How to Use the Arbox MCP in CrewAI

Q: How do I configure Arbox tools for a CrewAI agent?

Pass your Vinkius endpoint URL directly into the agent's mcps list. The agent automatically discovers tools like searchmembers and uses them during crew execution.

Q: Is it possible to restrict which Arbox MCP Server tools a CrewAI agent can use?

You can use MCPServerHTTP combined with a toolfilter to limit access. This prevents research agents from viewing sensitive financial data like listpayments.

Q: How does this MCP Server help with gym retail sales?

Your agent queries listproducts to check inventory and retail pricing. This allows the crew to suggest merchandise purchases to active studio members.

Run a cooperative crew of AI agents to manage your Arbox gym leads and class schedules autonomously.

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Connect Arbox MCP to CrewAI

Create your Vinkius account to connect Arbox to CrewAI 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 Arbox with CrewAI

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Deploy an autonomous sales crew with CrewAI

The `list_leads` tool serves as the primary data source for your lead qualification crew. One agent extracts the raw prospect list, while a second agent analyzes conversion history to prioritize outreach. This MCP Server lets your specialized agents collaborate using shared memory. By passing the server URL directly into your crew's tools list, the agents coordinate their efforts to close more memberships.

Coordinate gym staff schedules autonomously

The `list_coaches` tool allows your scheduling agent to see which trainers are available for upcoming shifts. A separate moderator agent reviews the assignments against the current calendar to prevent double-booking. You configure the crew using `MCPServerHTTP` to restrict tool access to specific agents. The scheduling coordinator queries `list_schedule` to balance the workload across your fitness team.

Analyze member engagement with multi-agent teams

The `search_members` tool retrieves member profiles and engagement scores for your retention crew through the MCP. A specialized analyst agent flags members with declining attendance so a support agent can offer targeted incentives. The crew executes these tasks sequentially, passing the member context from one agent to the next. Using `get_member` ensures that your agents always work with the latest check-in data.

Setup guide

Set up Arbox MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Arbox tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Arbox Analyst",
    goal="Access and analyze Arbox data via MCP.",
    backstory="Expert analyst with direct Arbox access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Arbox transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Arbox Analyst",
        goal="Access and analyze Arbox data via MCP.",
        backstory="Expert analyst with direct Arbox access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Arbox transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about Arbox MCP in CrewAI

Pass your Vinkius endpoint URL directly into the agent's `mcps` list. The agent automatically discovers tools like `search_members` and uses them during crew execution.

Yes, your agents can run concurrent queries using shared memory. One agent can pull the schedule with `list_schedule` while another checks coach availability using `list_coaches`.

You can use `MCPServerHTTP` combined with a `tool_filter` to limit access. This prevents research agents from viewing sensitive financial data like `list_payments`.

Your agent queries `list_products` to check inventory and retail pricing. This allows the crew to suggest merchandise purchases to active studio members.

All API requests for member records and schedules run through a secure, single-token proxy. No data is stored on external servers, keeping your gym's operational records private.

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