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How to Use the Instamojo MCP in OpenAI Agents SDK

Connect Instamojo to your OpenAI Agents SDK workflow to automate payment tracking and financial record keeping.

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OpenAI Agents SDK

Connect Instamojo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Instamojo 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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Automated payment reconciliation for OpenAI Agents SDK

Your agent pulls transaction data directly from your dashboard using `list_payments`. It matches these entries against your internal records without you touching a spreadsheet. By calling `get_payment` for specific IDs, the agent verifies transaction status in real-time. This ensures your agent only acts on confirmed funds.

Manage refunds and disputes with OpenAI Agents SDK

When a customer requests a refund, your agent triggers `get_refund` to check the current status before proceeding. It keeps your support pipeline updated without manual API polling. Use `list_disputes` to monitor incoming claims automatically. Your agent flags these for review, ensuring you catch potential revenue loss before it impacts your bottom line.

Track payouts and links in OpenAI Agents SDK

Your agent uses `list_payouts` to verify bank transfers against your expected settlement dates. It provides a clear audit trail for your financial reporting. Keep track of your active sales channels by querying `list_links`. The agent identifies which payment requests are still pending, letting you send reminders to clients automatically.

Setup guide

Set up Instamojo 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. 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. 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 Instamojo tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Instamojo 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="Instamojo Agent",
            instructions="You have access to Instamojo tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Instamojo. 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.

Why Choose Vinkius

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Real-time monitoring

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Instamojo MCP in OpenAI Agents SDK

The server operates over a secure connection using your unique endpoint token. Your agent only accesses the specific data requested by the tools, keeping your account credentials isolated.
Yes, the agent processes paginated results from the API efficiently. You define the logic for how many records to fetch at once to keep your agent memory usage stable.
No, you configure your agent to poll the API on a schedule that fits your needs. It handles the connection to Instamojo autonomously while you focus on other tasks.
The server returns clear error messages that your agent interprets immediately. You can program your agent to retry the request or alert you when a specific transaction fails.
Your transaction history is never stored by the server itself. Each request is ephemeral, meaning the data exists only within the agent's active memory during the task execution.

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