Bring Razorpay
to LangChain
Learn how to connect Razorpay to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Razorpay Key ID and Key Secret from your dashboard
3. Start managing your payment operations from Claude, Cursor, or any MCP-compatible client
No more manual status checking or spreadsheet transaction logs. Your AI acts as a dedicated payments specialist or finance coordinator.
Who is this for?
- E-commerce Merchants — quickly retrieve payment details and monitor order fulfillment without switching apps.
- Finance Operations Teams — automate the management of refunds and track settlements via natural conversation.
- Developers — integrate real-time payment data and transaction monitoring directly within the chat.
Built-in capabilities (12)
Create a new customer
Amount should be in smallest currency subunit (e.g., 50000 for ₹500.00). Create a new payment order
Get details of a specific order
Get details of a specific payment
List all customers
List all invoices
List all payment orders
List all payments
List all refunds
List all settlements
List all subscriptions
List all transfers
Why LangChain?
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.
- —
The largest ecosystem of integrations, chains, and agents. combine Razorpay MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across Razorpay queries for multi-turn workflows
Razorpay in LangChain
Razorpay and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Razorpay to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Razorpay in LangChain
The Razorpay 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Razorpay for LangChain
Every tool call from LangChain to the Razorpay MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the details for a specific payment just by providing its ID?
Yes! Use the get_payment tool with the Payment ID. Your agent will respond with complete metadata, including capture status, refund history, and customer notes in seconds.
How do I find my Razorpay Key ID and Key Secret?
Log in to your Razorpay dashboard, navigate to Settings > API Keys, and generate a new key pair. You will see the Key ID immediately and must download the Key Secret.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters