Razorpay MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Customer, Create Order, Get Order, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Razorpay through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Razorpay app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Razorpay "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Razorpay?"
)
print(result.data)
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.
Pydantic AI validates every Razorpay tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Razorpay into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Razorpay MCP Server
Pydantic AI provides unique advantages when paired with Razorpay through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Razorpay integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Razorpay connection logic from agent behavior for testable, maintainable code
Razorpay + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Razorpay MCP Server delivers measurable value.
Type-safe data pipelines: query Razorpay with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Razorpay tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Razorpay and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Razorpay responses and write comprehensive agent tests
Example Prompts for Razorpay in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Razorpay to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiRazorpay + Pydantic AI FAQ
Common questions about integrating Razorpay MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.