Razorpay MCP Server for AutoGenGive AutoGen instant access to 12 tools to Create Customer, Create Order, Get Order, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Razorpay as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Razorpay app connector for AutoGen 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
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="razorpay_agent",
tools=tools,
system_message=(
"You help users with Razorpay. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Razorpay tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 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
Connect Razorpay to AutoGen via MCP
Follow these steps to wire Razorpay into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Razorpay MCP Server
AutoGen provides unique advantages when paired with Razorpay through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Razorpay tools to solve complex tasks
Role-based architecture lets you assign Razorpay tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Razorpay tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Razorpay tool responses in an isolated environment
Razorpay + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Razorpay MCP Server delivers measurable value.
Collaborative analysis: one agent queries Razorpay while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Razorpay, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Razorpay data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Razorpay responses in a sandboxed execution environment
Example Prompts for Razorpay in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Razorpay immediately.
"List all active customers in my Razorpay account."
"Show me all payment transactions from today with their statuses and settlement details."
"Create a new payment link for ₹15,000 for the consulting invoice with 7-day expiry."
Troubleshooting Razorpay MCP Server with AutoGen
Common issues when connecting Razorpay to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Razorpay + AutoGen FAQ
Common questions about integrating Razorpay MCP Server with AutoGen.
