About
The Razorpay MCP Server exposes the Razorpay payment gateway API to AI assistants using the Model Context Protocol, enabling tools like Cursor, Claude, and Copilot to perform payment operations directly through a standardized interface.
Capabilities

The Razorpay MCP Server bridges the gap between AI assistants and the Razorpay payment gateway, offering a seamless way for developers to expose transaction data, orders, refunds, and more to conversational agents. By implementing the Model Context Protocol, it translates standard AI tool calls into authenticated Razorpay API requests and streams responses back in a format that Claude, Cursor, Copilot, or any MCP‑compatible client can understand. This eliminates the need for custom integration code in every project, allowing AI assistants to query real‑time financial data without exposing credentials or writing bespoke adapters.
At its core, the server hosts a collection of Razorpay‑specific tools—such as , , and —each equipped with pagination parameters (, , , ). When an AI assistant invokes a tool, the server authenticates with the supplied Razorpay key and secret, performs the API call, and returns a structured JSON payload. This abstraction lets developers focus on building higher‑level business logic (e.g., generating financial reports or troubleshooting payment issues) while the MCP server handles low‑level API interaction, error handling, and rate‑limiting concerns.
Key capabilities include:
- Standardized transport options: Run as a lightweight stdio process for direct integration with tools like Cursor, or expose an SSE endpoint for web applications that need real‑time updates.
- Docker support: Quickly spin up isolated instances without local dependencies, making it ideal for CI/CD pipelines or cloud deployments.
- Secure credential management: Credentials are passed via command‑line arguments and never persisted, reducing the risk of accidental leaks.
- Extensible tool set: The table of available tools covers all major Razorpay resources, and developers can add new ones by extending the server’s tool registry.
Real‑world use cases are plentiful. A fintech startup can let an AI assistant draft a monthly reconciliation report by calling and . A customer support chatbot can fetch the latest orders for a user with , providing instant answers to billing questions. A data‑science workflow might trigger from a scheduled AI routine to feed downstream analytics pipelines. In each scenario, the MCP server removes boilerplate code and ensures that only authenticated requests reach Razorpay, preserving security while boosting developer productivity.
By integrating directly into AI workflows, the Razorpay MCP Server offers a unified, protocol‑driven approach to payment data access. It empowers developers to harness the conversational power of AI assistants for finance operations, all while maintaining strict control over credentials and API usage.
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