Shiprocket launches AI-integrated MCP Server, enabling hands-free eCommerce ops via natural language commands.
In a game-changing move for India’s eCommerce industry, Shiprocket has unveiled the nation’s first AI-integrated Model Context Protocol (MCP) Server, designed to revolutionise how D2C brands and MSMEs manage their logistics operations.
The MCP Server allows AI agents to autonomously perform critical logistics functions—from rate checks to shipment tracking—using a single line of instruction, entirely bypassing traditional dashboards or APIs.
This breakthrough enables businesses to interact with Shiprocket’s platform through simple natural-language prompts or voice commands, making eCommerce operations faster, smarter, and hands-free. Whether scheduling a pickup, creating an order, or tracking a shipment, actions can now be executed instantly by AI assistants.
Key Features of the MCP Server:
- Faster Execution: Instant command-based logistics operations
- Hands-Free Operations: No dashboards or manual intervention
- Seamless AI Integration: Works with tools like Claude, Cursor, and Zapier
- Enterprise-Grade Security: Built on Shiprocket’s robust infrastructure
The server supports a variety of intelligent commands, including:
- “Track the latest status of Order ID 12345 and alert the customer if delayed.”
- “Schedule a pickup for Order ID 456789 from our warehouse.”
- “List courier options and delivery times for a 0.5 KG COD shipment from Delhi to Bangalore.”
Integration with platforms like Claude and Cursor allows developers to build voice-activated bots, while Zapier opens doors to over 7,000 app connections, enabling highly customised workflows without coding.
Saahil Goel, MD & CEO of Shiprocket, commented: “This is more than an integration—it’s a new interface for commerce. The MCP Server shifts the paradigm from manual workflows to autonomous AI-driven actions, enabling millions of businesses to work smarter and scale faster.”
With the MCP Server, Shiprocket is setting a new standard for AI-enabled commerce, moving from support to full execution—autonomously.
