Afterpay MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Afterpay as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Afterpay. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Afterpay?"
)
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 Afterpay MCP Server
Connect your Afterpay (Clearpay) merchant account to your AI agent to unlock enterprise-grade BNPL (Buy Now, Pay Later) orchestration. From creating secure checkout tokens to monitoring payment statuses and processing partial refunds, your agent handles your financial transactions through natural conversation.
LlamaIndex agents combine Afterpay tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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
- Checkout Orchestration — Create new checkout sessions and retrieve secure redirect tokens for your customers
- Payment Monitoring — List and audit historical payments, check capture statuses, and retrieve technical metadata
- Refund Management — Initiate full or partial refunds for specific orders directly from your chat interface
- Configuration Audit — Retrieve merchant-specific configuration including minimum and maximum order limits
- Transaction Insights — Quickly identify successful captures or pending authorizations without manual dashboard exports
The Afterpay MCP Server exposes 5 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 Afterpay to LlamaIndex via MCP
Follow these steps to integrate the Afterpay 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 5 tools from Afterpay
Why Use LlamaIndex with the Afterpay MCP Server
LlamaIndex provides unique advantages when paired with Afterpay through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Afterpay tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Afterpay tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Afterpay, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Afterpay tools were called, what data was returned, and how it influenced the final answer
Afterpay + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Afterpay MCP Server delivers measurable value.
Hybrid search: combine Afterpay real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Afterpay 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 Afterpay for fresh data
Analytical workflows: chain Afterpay queries with LlamaIndex's data connectors to build multi-source analytical reports
Afterpay MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect Afterpay to LlamaIndex via MCP:
create_checkout
The amount must fall within the configured limits. Initiate a secure Afterpay BNPL payment session token for a customer transaction
get_afterpay_config
Retrieve the minimum and maximum order transaction limits enforced by your Afterpay merchant account
get_payment_details
Retrieve detailed financial status, settlement info, and logs for a specific Afterpay order ID
list_payments
Retrieve historical BNPL transactions and authorizations securely from your Afterpay account
refund_payment
Always verify the remaining balance before refunding. Initiate a full or partial refund to immediately credit a consumer against a previously captured Afterpay order
Example Prompts for Afterpay in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Afterpay immediately.
"Create an Afterpay checkout session for $100.00."
"Check the status of order ID '12345678'."
"Show me my current Afterpay order limits."
Troubleshooting Afterpay MCP Server with LlamaIndex
Common issues when connecting Afterpay to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAfterpay + LlamaIndex FAQ
Common questions about integrating Afterpay 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 Afterpay with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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TypeScript toolkit for building AI-powered web applications.
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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 Afterpay to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.