How to Use the Nuvei MCP in LlamaIndex

Q: How do I restrict payment actions in the LlamaIndex Nuvei integration?

You can use the allowedtools filter in LlamaIndex to only expose read-only tools like getpayment or gettoken to your public query engines, blocking write tools like createpayment.

Index your Nuvei payment data and manage tokens directly within your LlamaIndex RAG pipelines.

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Connect Nuvei MCP to LlamaIndex

Create your Vinkius account to connect Nuvei to LlamaIndex 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 Nuvei with LlamaIndex

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Query transaction history via LlamaIndex RAG

The `get_transactions` tool fetches historical payment records directly into your LlamaIndex knowledge indexes. Your agent queries this fresh API data to answer customer billing questions without hallucinating payment details. By indexing transaction metadata, your RAG application grounds its answers in real-time financial facts. When a customer asks about their billing history, LlamaIndex pulls the records and synthesizes a direct, accurate response.

Audit async payments using LlamaIndex MCP Server tools

The `get_payment` tool checks the settlement status of asynchronous transactions inside your LlamaIndex query engines. If a payment status is pending, the engine triggers this tool to fetch the latest Nuvei network response before answering user queries. This ensures your support agents get real-time payment states instead of stale cached records. You can filter these MCP operations using the LlamaIndex allowed_tools configuration to restrict which payment actions the engine can perform.

Securely tokenize cards in LlamaIndex workflows

The `create_card_token` tool converts raw payment details into vaulted tokens inside your LlamaIndex data ingestion pipelines. This lets your agent securely handle checkout flows by passing the token to `create_payment` instead of storing raw card data in your indexes. If a customer updates their profile, the engine calls `update_token` to modify expiry dates or `delete_token` to remove the vault reference. This keeps your search index completely free of sensitive payment card industry data.

Setup guide

Set up Nuvei MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Nuvei MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Nuvei tools.",
)
response = await agent.run("List recent Nuvei data")

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Common questions about Nuvei MCP in LlamaIndex

Use llama-index-tools-mcp to connect to the server and call get_transactions. LlamaIndex loads this payment metadata directly into your vector store for semantic search and retrieval.

Yes. Your LlamaIndex agent can retrieve a stored token using get_token and then call create_payment to execute the charge based on the user's natural language request.

You can use the allowed_tools filter in LlamaIndex to only expose read-only tools like get_payment or get_token to your public query engines, blocking write tools like create_payment.

This MCP Server allows LlamaIndex to treat your live payment gateway as a dynamic data source. It combines live API responses from get_payment with your static documentation to answer complex billing questions.

The server processes transaction records and payment tokens inside an isolated sandbox. It never exposes raw cardholder details to your LlamaIndex vector store, preventing sensitive financial data from being indexed or stored in plain text.

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