Copperx MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine Copperx MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Copperx tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Copperx, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Copperx tools with web scrapers, databases, and calculators in a single agent run
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:
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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Copperx to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCopperx + LangChain FAQ
Common questions about integrating Copperx MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Copperx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Copperx to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
