How to Use the Hyperswitch MCP in LlamaIndex

Q: Can LlamaIndex query specific Hyperswitch refunds?

Yes. The agent uses getrefund to pull the specific refund record and updates the vector index to ensure your financial queries are grounded in current cash flows.

Q: How does the Hyperswitch MCP Server handle large customer lists in LlamaIndex?

Use listcustomers to pull records in batches. LlamaIndex chunks the customer profiles and updates your index without overwhelming the API rate limits.

Q: Can I use LlamaIndex to automate Hyperswitch payout reconciliation?

Yes. You can run listpayouts to feed settlement records into your index, allowing the agent to match payouts with original transaction IDs semantically.

Index live Hyperswitch transaction data directly into your LlamaIndex vector stores for instant semantic search.

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Connect Hyperswitch MCP to LlamaIndex

Create your Vinkius account to connect Hyperswitch 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 Hyperswitch with LlamaIndex

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Turn Hyperswitch API data into searchable knowledge

LlamaIndex takes raw outputs from `list_customers` or `list_payments` and indexes them on the fly. Your agent doesn't just read the API response once. Our MCP integration makes it searchable. This means you can ask your agent about customer spending patterns without writing SQL queries. The agent queries the index, pulls the relevant transaction records, and gives you a grounded answer based on real Hyperswitch data.

Query dispute history with LlamaIndex RAG

Stop digging through payment dashboards to find chargeback patterns. This MCP Server lets LlamaIndex pull historical data via `list_disputes` and `get_dispute` to feed your retrieval-augmented generation pipelines. When a new dispute lands, your system searches the index for similar past cases. It compares the customer profiles retrieved via `get_customer` to find matching merchant behavior, helping you write better dispute responses.

Analyze payout trends semantically

Pull your entire payout history using `list_payouts` and let LlamaIndex structure the data. Your agent can cross-reference these payouts with customer accounts found via `get_payout` to detect settlement anomalies automatically. Instead of exporting CSV files to Excel, you query your financial data using plain English. The framework handles the semantic retrieval, while the Hyperswitch tools supply the fresh, uncorrupted transaction data.

Setup guide

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

Load the tools using llama-index-tools-mcp and fetch your data using list_payments. Convert the raw JSON output into document objects and build your vector index for semantic search.

Yes. The agent uses get_refund to pull the specific refund record and updates the vector index to ensure your financial queries are grounded in current cash flows.

Use list_customers to pull records in batches. LlamaIndex chunks the customer profiles and updates your index without overwhelming the API rate limits.

Yes. You can run list_payouts to feed settlement records into your index, allowing the agent to match payouts with original transaction IDs semantically.

All customer names, emails, and transaction histories retrieved via get_customer are processed in a zero-trust, ephemeral MCP sandbox. No sensitive payment data is cached or stored permanently on Vinkius.

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