How to Use the Copperx MCP in CrewAI

Q: Can I restrict which Copperx tools a specific CrewAI agent can run?

Yes, you can use MCPServerHTTP with a tool filter. This prevents your public-facing support agent from running sensitive tools like listpayouts while allowing them to check customer lists.

Deploy a team of autonomous CrewAI agents to manage your Copperx crypto payments and subscriptions.

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Connect Copperx MCP to CrewAI

Create your Vinkius account to connect Copperx 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 Copperx with CrewAI

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Run an autonomous finance department with CrewAI

Instead of relying on a single bot, CrewAI lets you deploy a specialized squad. A Researcher agent uses `list_customers` and `list_payments` to identify accounts with overdue balances. It then hands that list over to an Account Manager agent, who drafts invoices and schedules follow-ups. These agents coordinate using shared memory, ensuring they don't ping the same customer twice. They operate sequentially, passing context from one task to the next without human intervention.

Audit your treasury using this MCP Server and CrewAI

Keep your books balanced by assigning an auditor agent to monitor your crypto assets. The auditor queries `get_wallet_balance` across all your active chains and compares the numbers against your recorded transactions. It uses `list_payouts` to verify that every outgoing transfer matches an approved payout ID. If the agent spots a discrepancy between your wallet balance and the transaction ledger, it flags the issue. It immediately writes a report and escalates it to your human finance team for review.

Automated customer onboarding and subscription setup

Automate your customer sign-up flow by letting your agents handle the heavy lifting. When a new user registers, a Coordinator agent uses this MCP connection to call `create_customer` to set up their identity in your billing system. It then triggers a Provisioner agent to set up their plan. The Provisioner uses `create_payment_link` to generate a customized subscription checkout URL. Once created, the agent writes a personalized welcome email containing the payment link and delivers it to the user.

Setup guide

Set up Copperx 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 Copperx tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Copperx 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="Copperx Analyst",
        goal="Access and analyze Copperx data via MCP.",
        backstory="Expert analyst with direct Copperx access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Copperx 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 Copperx. 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 Copperx MCP in CrewAI

You can pass your Vinkius HTTP endpoint directly into the agent's `mcps` list. For selective tool access, use `MCPServerHTTP` from `crewai.mcp` with a tool filter.

Yes, agents in your crew share access to the configured tools. One agent can look up invoices with `list_invoices` while another checks payouts using `list_payouts` simultaneously.

Yes, CrewAI supports stdio, SSE, and Streamable HTTP transports. Vinkius handles the underlying connection, so your python crew connects with a single token.

Yes, you can use `MCPServerHTTP` with a tool filter. This prevents your public-facing support agent from running sensitive tools like `list_payouts` while allowing them to check customer lists.

Sensitive customer records and active subscription details retrieved via `list_customers` are processed inside Vinkius's ephemeral V8 sandboxes. Your CrewAI Python environment receives this billing data securely, and it is never cached or used for training models.

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