How to Use the Worldpay MCP in LlamaIndex

Q: How does LlamaIndex handle Worldpay refunds?

After you run refundpaymentorder, the resulting confirmation and details are indexed. This means your knowledge base permanently records that a refund occurred, providing an audit trail for future queries.

Q: What information can LlamaIndex retrieve about Worldpay orders?

You index data from getorderdetails. This lets you query specific details—like the currency or amount—from any payment order, providing semantic search capabilities across all your transaction history.

Q: If I need to check Worldpay API status with LlamaIndex?

You can index the output of getapihealth. This allows you to build a knowledge source that tracks system uptime and operational status over time, letting you query historical reliability.

Q: Can I use Worldpay data in LlamaIndex for reporting?

Absolutely. Both listpaymentsettlements and getsettlementdetails output structured data that is perfect for indexing, allowing you to run detailed reports based on your knowledge base.

Q: What kind of data does Worldpay touch when LlamaIndex processes webhooks?

The listwebhookendpoints tool lists endpoint URLs. These strings are the specific configuration details that the MCP Server exposes to be indexed and queried.

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Connect Worldpay MCP to LlamaIndex

Create your Vinkius account to connect Worldpay 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 Worldpay with LlamaIndex

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Indexing Payment Orders for LlamaIndex

You can index the results of `get_order_details` into a vector store. This means your RAG application doesn't just retrieve text; it retrieves specific facts about past payments. Later, you query this knowledge base and get answers grounded in actual Worldpay data—like confirming if a payment order was processed or when the transaction occurred.

Searching Settlement History with MCP Server

The output from `list_payment_settlements` becomes searchable knowledge. You can ask, 'What were my settled funds in Q1?' and LlamaIndex will pull the exact records. This capability turns transient API data into a permanent, queryable index that your application uses to answer questions.

Tracking Worldpay Tokens via LlamaIndex

When you call `get_token_details`, the metadata returned is indexed. You can then build an internal knowledge graph around payment tokens. This lets users query past sessions to understand which token was associated with a specific client or order without needing to manually check multiple databases.

Setup guide

Set up Worldpay 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 Worldpay 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 Worldpay tools.",
)
response = await agent.run("List recent Worldpay data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Worldpay. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Worldpay MCP in LlamaIndex

After you run `refund_payment_order`, the resulting confirmation and details are indexed. This means your knowledge base permanently records that a refund occurred, providing an audit trail for future queries.

You index data from `get_order_details`. This lets you query specific details—like the currency or amount—from any payment order, providing semantic search capabilities across all your transaction history.

You can index the output of `get_api_health`. This allows you to build a knowledge source that tracks system uptime and operational status over time, letting you query historical reliability.

Absolutely. Both `list_payment_settlements` and `get_settlement_details` output structured data that is perfect for indexing, allowing you to run detailed reports based on your knowledge base.

The `list_webhook_endpoints` tool lists endpoint URLs. These strings are the specific configuration details that the MCP Server exposes to be indexed and queried.

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