Can I process a refund through the agent?

Yes. The `refund_payment_order` tool allows your AI agent to initiate a refund for any completed transaction. You just need to provide the order code and the amount (in minor units), and the agent will process it via the Worldpay API.

How do I check the status of a specific payment?

You can use the `get_order_details` tool. Provide the unique order code, and your agent will return the full transaction metadata, including current payment status, amount, and timestamp.

Can I see a list of recent settlements made to my bank account?

Absolutely. Use the `list_payment_settlements` tool to retrieve a summary of outgoing transfers to your account. You can then use `get_settlement_details` to see the individual payments included in each batch.

Worldpay MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Worldpay
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Worldpay as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Worldpay. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Worldpay?"
    )
    print(response)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Worldpay MCP Server

Connect your Worldpay account to any AI agent and manage your global payment operations through natural conversation.

LlamaIndex agents combine Worldpay tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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 Processing — Initiate new payment orders using secure tokens and retrieve real-time transaction statuses instantly
Refund Management — Process partial or full refunds for previously completed payments directly from your agent
Tokenization — Create and manage reusable payment tokens to securely store customer card data without handling raw sensitive information
Settlement Auditing — List and monitor funds that have been settled to your account, including granular transaction-level breakdowns
Webhook Governance — Verify the configuration of your real-time notification endpoints to ensure payment updates are being delivered
Operational Insights — Quickly find unique order codes, token IDs, and settlement batches required for financial reconciliation
Connectivity Health — Verify the operational status of your Worldpay API integration to ensure your payment gateway is always reachable

The Worldpay MCP Server exposes 9 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 Worldpay to LlamaIndex via MCP

Follow these steps to integrate the Worldpay 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 9 tools from Worldpay

Why Use LlamaIndex with the Worldpay MCP Server

LlamaIndex provides unique advantages when paired with Worldpay through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Worldpay tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Worldpay tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Worldpay, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Worldpay tools were called, what data was returned, and how it influenced the final answer

Worldpay + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Worldpay MCP Server delivers measurable value.

Hybrid search: combine Worldpay real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Worldpay 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 Worldpay for fresh data

Analytical workflows: chain Worldpay queries with LlamaIndex's data connectors to build multi-source analytical reports

Worldpay MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Worldpay to LlamaIndex via MCP:

create_payment_order

Provide the payment token, amount, currency, and order description. Creates a new payment order in Worldpay

create_reusable_token

Generates a reusable payment token from sensitive card data

get_api_health

Checks the operational status of the Worldpay API connection

get_order_details

Retrieves details for a specific payment order

get_settlement_details

Retrieves granular details for a specific settlement

get_token_details

Retrieves metadata for a specific payment token

list_payment_settlements

Lists funds that have been settled to your account

list_webhook_endpoints

Lists all registered webhook notification endpoints

refund_payment_order

Provide the order code and the amount to refund. Refunds a previously completed payment

Example Prompts for Worldpay in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Worldpay immediately.

"Create a payment order for 50.00 GBP using token 'tok-123'."

"Refund 20.00 USD for order 'ORD-ABC-456'."

"Show me my latest account settlements."

Troubleshooting Worldpay MCP Server with LlamaIndex

Common issues when connecting Worldpay to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Worldpay + LlamaIndex FAQ

Common questions about integrating Worldpay MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Worldpay tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.