Razorpay MCP Server

Overview

The Razorpay MCP Server bridges the gap between AI assistants and India’s leading payment platform, Razorpay. By exposing a curated set of payment‑related tools through the Model Context Protocol, it enables conversational agents to perform real‑world financial operations—such as creating orders, capturing payments, and managing payment links—without developers having to write boilerplate integration code. This streamlines the development of chat‑based checkout flows, automated reconciliation scripts, and customer support bots that can handle payments on demand.

What problem does it solve? Many AI‑driven applications require secure, real‑time interactions with payment gateways. Traditionally this involves writing SDK wrappers, handling OAuth tokens, and managing error cases manually. The Razorpay MCP Server abstracts these complexities behind a simple, declarative interface. Developers can issue high‑level commands like or , letting the server handle authentication, request construction, and response parsing. This reduces development time, lowers the risk of security misconfigurations, and ensures that all calls comply with Razorpay’s latest API contracts.

Key capabilities include:

• Comprehensive payment lifecycle support: From initiating a payment with stored cards to capturing authorized amounts and handling OTP verification.
• Order management: Create, fetch, update, and list orders—critical for e‑commerce workflows that separate order creation from payment authorization.
• Payment link handling: Generate standard or UPI links, send them via SMS/email, and update their properties—all through a single tool set.
• Bulk retrieval: List all payments or orders with filtering and pagination, facilitating reporting and audit tasks.
• Remote server hosting: Razorpay offers a hosted MCP instance, eliminating the need for self‑hosting and ensuring up‑to‑date API support.

Real‑world use cases span multiple domains. An e‑commerce chatbot can guide a customer through checkout, automatically generating a payment link and sending it to the user’s phone. A subscription service can use to finalize recurring charges after a successful authorization. Customer support agents powered by AI can fetch payment details or resend OTPs on demand, reducing ticket resolution time. Moreover, data scientists building financial models can pull historical payment and order data directly into their notebooks via the MCP interface.

Integration with AI workflows is straightforward. The MCP server exposes each tool as a JSON schema, allowing Claude or other assistants to call them with natural language prompts. Because the server handles authentication tokens internally, developers only need to provide minimal configuration—such as API keys—to enable secure communication. This tight coupling between conversational agents and payment operations makes it possible to build end‑to‑end, AI‑driven commerce experiences that are both reliable and compliant with Razorpay’s security standards.

In summary, the Razorpay MCP Server offers developers a powerful, developer‑friendly gateway to payment operations. By encapsulating complex API interactions behind a clean protocol, it accelerates the creation of AI‑enabled financial workflows and ensures that payments are handled safely, consistently, and efficiently.