How to Use the Mollie MCP in LlamaIndex

Q: Can LlamaIndex search through Mollie customer lists?

Yes, by calling listcustomers and indexing the output. Your agent can then answer questions about your user base using current data.

Q: Does this handle Mollie chargeback data?

Yes, listchargebacks retrieves your current dispute data. You can index this to track trends in your store's financial health.

Index your Mollie financial data into LlamaIndex for searchable, grounded AI insights.

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Connect Mollie MCP to LlamaIndex

Create your Vinkius account to connect Mollie 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 Mollie with LlamaIndex

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Index Mollie orders in LlamaIndex

Use `list_orders` to pull transaction records that feed directly into your vector store. Your agent then queries this index to find specific customer patterns. This turns raw API data into a searchable history. You stop guessing and start querying actual transaction logs.

Query Mollie customers with LlamaIndex

Fetch details for any shopper using `get_customer` and add them to your knowledge base. Your agent references this data when answering complex support tickets. It grounds the AI in reality. You get answers based on your actual customer list, not generic training data.

Track refunds with an MCP Server

Add `list_refunds` to your agent tools to keep your index updated on return activity. The server provides the current status for every processed refund. You can search across these records to identify frequent returners. It makes financial tracking part of your core knowledge base.

Setup guide

Set up Mollie 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 Mollie 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 Mollie tools.",
)
response = await agent.run("List recent Mollie 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 Mollie. 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 Mollie MCP in LlamaIndex

Use the BasicMCPClient to connect your server, then pass the tools to your agent. The system automatically fetches the data you need for your index.

Yes, by calling `list_customers` and indexing the output. Your agent can then answer questions about your user base using current data.

Your data remains within your controlled environment. The server uses strict endpoint isolation so that only your authorized agent accesses your financial records.

You call the tools via your agent to refresh your knowledge base. It provides a live window into your store's performance.

Yes, `list_chargebacks` retrieves your current dispute data. You can index this to track trends in your store's financial health.

Use it with your favorite AI tools

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