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Razorpay MCP Server for LangChainGive LangChain instant access to 12 tools to Create Customer, Create Order, Get Order, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Razorpay through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Razorpay app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "razorpay": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Razorpay, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Razorpay
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 Razorpay MCP Server

Connect your Razorpay account to any AI agent and take full control of your payment orchestration through natural conversation. Razorpay is India's leading payments solution, and this integration allows you to retrieve payment metadata, create customer orders, and manage financial transactions directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Razorpay through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Order & Payment Orchestration — List all managed orders and retrieve detailed metadata, including creating new payment orders programmatically.
  • Transaction Lifecycle Management — Access and monitor payment statuses and retrieve technical metadata directly from the AI interface to ensure successful checkouts.
  • Customer CRM Control — List and search through your customer database to maintain accurate records via natural language.
  • Subscription & Invoice Intelligence — Access recurring billing plans and monitor invoice statuses to ensure your revenue streams are always optimized.
  • Operational Monitoring — Track settlements, transfers, and retrieve account profile metadata using simple AI commands.

The Razorpay MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Razorpay tools available for LangChain

When LangChain connects to Razorpay through Vinkius, your AI agent gets direct access to every tool listed below — spanning razorpay, payment-gateway, fintech-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_customer

Create a new customer

create_order

Amount should be in smallest currency subunit (e.g., 50000 for ₹500.00). Create a new payment order

get_order

Get details of a specific order

get_payment

Get details of a specific payment

list_customers

List all customers

list_invoices

List all invoices

list_orders

List all payment orders

list_payments

List all payments

list_refunds

List all refunds

list_settlements

List all settlements

list_subscriptions

List all subscriptions

list_transfers

List all transfers

Connect Razorpay to LangChain via MCP

Follow these steps to wire Razorpay into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from Razorpay via MCP

Why Use LangChain with the Razorpay MCP Server

LangChain provides unique advantages when paired with Razorpay through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Razorpay MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Razorpay queries for multi-turn workflows

Razorpay + LangChain Use Cases

Practical scenarios where LangChain combined with the Razorpay MCP Server delivers measurable value.

01

RAG with live data: combine Razorpay tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Razorpay, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Razorpay tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Razorpay tool call, measure latency, and optimize your agent's performance

Example Prompts for Razorpay in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Razorpay immediately.

01

"List all active customers in my Razorpay account."

02

"Show me all payment transactions from today with their statuses and settlement details."

03

"Create a new payment link for ₹15,000 for the consulting invoice with 7-day expiry."

Troubleshooting Razorpay MCP Server with LangChain

Common issues when connecting Razorpay to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Razorpay + LangChain FAQ

Common questions about integrating Razorpay MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.