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How to Use the Instamojo MCP in LangChain

Chain Instamojo payment data into your LangChain agents to automate accounting and reconcile transactions without manual exports.

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LangChain

Connect Instamojo MCP to LangChain

Create your Vinkius account to connect Instamojo to LangChain 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 LangChain

Trigger `list_payments` and `list_payouts` to verify transaction status across your entire ledger automatically. You build a chain that pulls raw data from the server and maps it against your local records in one go. Your agent checks for discrepancies by comparing `get_payment` results with your expected bank deposits. It removes the need for manual CSV uploads by keeping your internal state synced with live API data.

Multi-step payment request management

Chain `list_payment_requests` with conditional logic to handle pending transactions. Your agent decides whether to follow up based on the status returned by the server. This workflow lets you build a reactive system that manages customer billing cycles. It uses `get_payment_request` to pull specific details and updates your database based on the outcome of each call.

Dispute and refund handling in chains

Monitor active disputes by calling `list_disputes` within your agent pipeline to flag urgent issues. The system detects new entries and alerts your team immediately. Your agent uses `get_refund` to verify status updates when a customer requests their money back. It ensures every refund is accounted for before your chain closes the support ticket.

Setup guide

Set up Instamojo MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Instamojo tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "instamojo-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Instamojo transactions"
    })
    print(result["messages"][-1].content)

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.

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Common questions about Instamojo MCP in LangChain

You build a chain that calls `list_payments` to pull transaction records. The agent compares these against your internal database to verify that every payment is settled. If a record is missing, the chain triggers an alert.
Yes, you connect the server to your agent and use `list_payouts` to pull settlement data. The agent parses the response to confirm if a payout reached your bank. You can schedule this to run daily.
The server exposes tools that your agent invokes during its reasoning process. Data from `list_payments` or `list_links` passes directly into the next step of your chain. You define the logic that dictates how this data is used.
Vinkius manages your endpoint token, so your credentials remain isolated within the sandbox. The server only performs the actions you explicitly authorize. Your data stays between your agent and the API.
The server only touches payment records like transaction IDs, amounts, and settlement statuses. No sensitive customer banking details are cached or stored on Vinkius infrastructure. Every request is ephemeral.

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