Copperx MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Copperx as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Copperx. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Copperx?"
)
print(response)
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.
LlamaIndex agents combine Copperx tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Copperx MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Copperx
Why Use LlamaIndex with the Copperx MCP Server
LlamaIndex provides unique advantages when paired with Copperx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Copperx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Copperx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Copperx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Copperx tools were called, what data was returned, and how it influenced the final answer
Copperx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Copperx MCP Server delivers measurable value.
Hybrid search: combine Copperx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Copperx to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Copperx for fresh data
Analytical workflows: chain Copperx queries with LlamaIndex's data connectors to build multi-source analytical reports
Copperx MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Copperx to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Copperx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCopperx + LlamaIndex FAQ
Common questions about integrating Copperx MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.