How do I get Hyperswitch API credentials?

You can find your API Secret Key in the Hyperswitch dashboard under 'API Keys'.

Does it support multiple processors?

Hyperswitch is a payment switch that abstracts multiple processors. This MCP interacts with the Hyperswitch unified API.

Can I process refunds with this MCP?

This version focus on listing and retrieving refund details. Actions to trigger new refunds may be added in future updates.

Hyperswitch MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Hyperswitch
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hyperswitch through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Hyperswitch "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Hyperswitch?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Hyperswitch tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

The Hyperswitch MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Hyperswitch MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Hyperswitch MCP Server

Pydantic AI provides unique advantages when paired with Hyperswitch through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Hyperswitch integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Hyperswitch connection logic from agent behavior for testable, maintainable code

Hyperswitch + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Hyperswitch MCP Server delivers measurable value.

Type-safe data pipelines: query Hyperswitch with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Hyperswitch tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Hyperswitch and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Hyperswitch responses and write comprehensive agent tests

Hyperswitch MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Hyperswitch to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Hyperswitch to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hyperswitch + Pydantic AI FAQ

Common questions about integrating Hyperswitch MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Hyperswitch MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.