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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Copperx through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "copperx": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Copperx, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Copperx
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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.

LangChain's ecosystem of 500+ components combines seamlessly with Copperx through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Copperx via MCP

Why Use LangChain with the Copperx MCP Server

LangChain provides unique advantages when paired with Copperx through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Copperx MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Copperx queries for multi-turn workflows

Copperx + LangChain Use Cases

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

01

RAG with live data: combine Copperx tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Copperx, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Copperx tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Copperx tool call, measure latency, and optimize your agent's performance

Copperx MCP Tools for LangChain (10)

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

01

create_customer

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

02

create_payment_link

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

03

get_payment_details

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

04

get_wallet_balance

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

05

list_customers

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

06

list_invoices

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

07

list_payment_links

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

08

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

09

list_payouts

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

10

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 LangChain

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

01

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

02

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

03

"List all active subscriptions and their monthly revenue."

Troubleshooting Copperx MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Copperx + LangChain FAQ

Common questions about integrating Copperx MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Copperx to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.