How do I get a Copperx API Key?

Log in to your Copperx dashboard, navigate to **Settings > API Keys**, and generate a new key. You can use either Test or Live keys depending on your needs.

Which cryptocurrencies are supported?

Copperx supports major assets like USDC, USDT, ETH, and MATIC across multiple chains including Ethereum, Polygon, and Solana.

Can I create recurring subscriptions via chat?

Yes, you can instruct the agent to create payment links or customers that can be tied to subscription plans defined in your Copperx account.

Copperx MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Copperx
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Copperx through Vinkius, pass the Edge URL in the `mcps` parameter and every Copperx tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Copperx Specialist",
    goal="Help users interact with Copperx effectively",
    backstory=(
        "You are an expert at leveraging Copperx tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Copperx "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* 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 Copperx MCP Server

Integrate Copperx, the API-first crypto payment processor, directly into your AI workflow. Automate your web3 billing, manage customer subscriptions, and track payouts using natural language.

When paired with CrewAI, Copperx becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Copperx tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Payment Links — Create and manage checkout links for products or services instantly.
Subscription Management — List and monitor active recurring billing cycles.
Invoicing — Generate and track crypto invoices for your global customers.
Wallet Insights — Check your account balances across multiple chains and currencies.

The Copperx MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Copperx to CrewAI via MCP

Follow these steps to integrate the Copperx MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Copperx

Why Use CrewAI with the Copperx MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Copperx through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Copperx + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Copperx MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Copperx for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Copperx, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Copperx tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Copperx against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Copperx MCP Tools for CrewAI (10)

These 10 tools become available when you connect Copperx to CrewAI via MCP:

create_customer

Creates a new customer record with identity properties (email, name) for future payment associations. Register a new customer in Copperx

create_payment_link

Resolves product identity and pricing configuration to generate a unique payment URL. Create a new payment link for customers to pay

get_payment_details

Resolves granular transaction data, including blockchain tx hashes, fee breakdowns, and customer linkages. Get details for a specific payment intent

get_wallet_balance

Resolves real-time wallet balances across various supported cryptocurrencies and networks. Check current crypto wallet balances in Copperx

list_customers

Resolves customer identity properties such as unique identifiers, email addresses, and registered names. List all customers registered in Copperx

list_invoices

Resolves billing document properties including invoice numbers, totals, and payment status links. List all invoices generated

list_payment_links

Resolves link metadata including checkout URLs, pricing data, and usage statistics. List all payment links created

list_payments

Resolves payment identity properties including transaction IDs, amounts, currencies, and processing status across the crypto-payment boundary. List all payment intents in Copperx

list_payouts

Resolves disbursement data including payout IDs, destination wallet addresses, and settlement status. List all payouts processed

list_subscriptions

Resolves subscription properties including plan IDs, billing cycles, and current subscription state. List all active and past subscriptions

Example Prompts for Copperx in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Copperx immediately.

"Create a crypto payment link for 'Consulting Service' worth 100 USDC."

"Check my current account balances across all crypto wallets."

"List all active subscriptions and their monthly revenue."

Troubleshooting Copperx MCP Server with CrewAI

Common issues when connecting Copperx to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Copperx + CrewAI FAQ

Common questions about integrating Copperx MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.