Hyperswitch MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hyperswitch 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 Hyperswitch. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Hyperswitch?"
)
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 Hyperswitch MCP Server
Empower your AI agents to manage your payment infrastructure with Hyperswitch. This MCP server allows you to list payments, retrieve customer details, manage refunds, track disputes, and view payouts directly through the Hyperswitch API. Ideal for automating fintech operations and payment monitoring.
LlamaIndex agents combine Hyperswitch tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
The Hyperswitch MCP Server exposes 10 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 Hyperswitch to LlamaIndex via MCP
Follow these steps to integrate the Hyperswitch 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 10 tools from Hyperswitch
Why Use LlamaIndex with the Hyperswitch MCP Server
LlamaIndex provides unique advantages when paired with Hyperswitch through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hyperswitch tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hyperswitch tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hyperswitch, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hyperswitch tools were called, what data was returned, and how it influenced the final answer
Hyperswitch + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hyperswitch MCP Server delivers measurable value.
Hybrid search: combine Hyperswitch real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hyperswitch 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 Hyperswitch for fresh data
Analytical workflows: chain Hyperswitch queries with LlamaIndex's data connectors to build multi-source analytical reports
Hyperswitch MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Hyperswitch to LlamaIndex via MCP:
get_customer
Retrieves details for a specific customer
get_dispute
Retrieves details for a specific dispute
get_payment
Retrieves details for a specific payment
get_payout
Retrieves details for a specific payout
get_refund
Retrieves details for a specific refund
list_customers
Lists all customers
list_disputes
Lists all disputes
list_payments
Lists all payments
list_payouts
Lists all payouts
list_refunds
Lists all refunds
Example Prompts for Hyperswitch in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hyperswitch immediately.
"List the last 10 payments processed through Hyperswitch."
"Check for any active disputes."
"Show me the details for customer ID 'cust_123'."
Troubleshooting Hyperswitch MCP Server with LlamaIndex
Common issues when connecting Hyperswitch to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHyperswitch + LlamaIndex FAQ
Common questions about integrating Hyperswitch 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 Hyperswitch 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 Hyperswitch to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.