Adyen MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Adyen 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 Adyen. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Adyen?"
)
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 Adyen MCP Server
Connect your Adyen account to your AI agent to unlock enterprise-grade payment orchestration and financial management. From monitoring real-time transaction statuses to handling refunds and auditing merchant account configurations, your agent handles your global payment ecosystem through natural conversation.
LlamaIndex agents combine Adyen tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 Monitoring — List and retrieve details for authorized, captured, or refused payments across your accounts
- Refund & Modification — Initiate refunds and manage payment modifications (captures, cancels) directly from chat
- Merchant Oversight — List and audit your merchant accounts and their technical configurations via the Management API
- Payment Method Auditing — Retrieve and verify available payment methods for specific regions and currencies
- Financial Insights — Quickly identify transaction trends and reconciliation patterns directly from your chat interface
The Adyen MCP Server exposes 4 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 Adyen to LlamaIndex via MCP
Follow these steps to integrate the Adyen 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 4 tools from Adyen
Why Use LlamaIndex with the Adyen MCP Server
LlamaIndex provides unique advantages when paired with Adyen through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Adyen tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Adyen tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Adyen, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Adyen tools were called, what data was returned, and how it influenced the final answer
Adyen + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Adyen MCP Server delivers measurable value.
Hybrid search: combine Adyen real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Adyen 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 Adyen for fresh data
Analytical workflows: chain Adyen queries with LlamaIndex's data connectors to build multi-source analytical reports
Adyen MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect Adyen to LlamaIndex via MCP:
get_merchant_details
Retrieve the technical configuration and status for a specific Adyen merchant account
get_payment_details
Requires the 16-digit PSP reference. Retrieve the full technical authorization and capture metadata for a specific Adyen payment
list_merchants
g. US, EU regions) and find a required Merchant ID. Retrieve all active merchant accounts associated with your Adyen company profile
refund_payment
Always double-check the amount before processing. Requires original PSP reference. Initiate a full or partial refund for a previously captured payment in Adyen
Example Prompts for Adyen in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Adyen immediately.
"Check the status of payment with PSP reference '8816123456789012'."
"Refund $25.00 for PSP reference '8516123456789012'."
"List all my active merchant accounts."
Troubleshooting Adyen MCP Server with LlamaIndex
Common issues when connecting Adyen to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAdyen + LlamaIndex FAQ
Common questions about integrating Adyen 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 Adyen 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 Adyen to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.