How to Use the Razorpay MCP in OpenAI Agents SDK

Q: How do I connect the Razorpay MCP Server to OpenAI Agents SDK?

Install openai-agents via pip. Initialize MCPServerStreamableHttp using your Vinkius endpoint URL. Pass this server instance into the Agent constructor within the mcpservers list to enable automatic discovery of Razorpay tools like getpayment and listorders in your OpenAI Agent workflow.

Run autonomous OpenAI Agents SDK workflows that manage Razorpay payments and orders with strict built-in guardrails.

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Connect Razorpay MCP to OpenAI Agents SDK

Create your Vinkius account to connect Razorpay to OpenAI Agents SDK 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 Razorpay with OpenAI Agents SDK

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Safe transactional tasks with OpenAI Agents SDK

OpenAI Agents SDK coordinates complex workflows where specialized agents handle Razorpay payments. When your OpenAI Agents SDK agent handles billing, it uses `get_payment` and `list_payments` to check Razorpay transaction histories. The OpenAI Agents SDK guardrails validate these actions before hitting Razorpay endpoints. If a Razorpay customer demands money back, the OpenAI Agents SDK billing agent hands off the task to a refund specialist. This OpenAI specialist uses `list_refunds` to verify previous Razorpay requests before triggering new API calls. You track the entire Razorpay handoff sequence directly in the OpenAI developer dashboard.

Verified order generation in subunit pricing

Your OpenAI Agents SDK assistant needs to build Razorpay orders accurately without manual price formatting. The MCP Server handles this by exposing `create_order` to the OpenAI agent, which processes Razorpay values in their smallest subunit. For example, a ₹500.00 Razorpay charge is sent by the OpenAI agent as 50000. The OpenAI agent uses `get_order` to double-check that the Razorpay order matches the customer's intent in session memory. This tight coupling prevents OpenAI parsing mistakes from corrupting your Razorpay checkout flow.

Automated customer and subscription lookups

Support agents running on the OpenAI Agents SDK can instantly verify Razorpay account statuses during chat sessions. The OpenAI agent invokes `list_customers` to find the Razorpay profile and `list_subscriptions` to see active recurring plans. If a Razorpay invoice is missing, the OpenAI agent runs `list_invoices` to pull the document for the user. This eliminates manual lookups in your Razorpay dashboard while keeping the OpenAI agent's context window clean.

Setup guide

Set up Razorpay MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Razorpay tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Razorpay tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Razorpay tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Razorpay Agent",
            instructions="You have access to Razorpay tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Razorpay. 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 Razorpay MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` using your Vinkius endpoint URL. Pass this server instance into the `Agent` constructor within the `mcp_servers` list to enable automatic discovery of Razorpay tools like `get_payment` and `list_orders` in your OpenAI Agent workflow.

The OpenAI Agent must pass the amount in the smallest subunit when calling `create_order`. Your OpenAI Agents SDK system prompt should instruct the model to multiply rupee values by 100, sending 50000 for a ₹500.00 Razorpay charge.

Yes. You can configure an OpenAI triage agent to route Razorpay requests, handing off payment verification using `get_payment` to a billing specialist agent, and customer onboarding using `create_customer` to an account agent.

You define strict system prompts and tool schemas within your OpenAI Agents SDK agent definition. By omitting `list_transfers` or using model-side guardrails, you prevent the OpenAI Agent from accessing sensitive Razorpay ledger tools.

All Razorpay payment details, settlements, and customer records remain inside Vinkius's zero-trust V8 sandbox. The OpenAI Agents SDK only receives the JSON payloads returned by tools like `list_settlements`, never exposing raw API keys to the LLM.

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