Restaurant India News: Swiggy Integrates Model Context Protocol for AI-Led Ordering Experience

Swiggy has become one of the first Indian consumer-facing brands to implement the Model Context Protocol (MCP), introducing AI-based ordering capabilities across its food delivery platform, quick commerce arm Instamart, and dining-out vertical DineOut. With this integration, users can place orders using AI tools such as ChatGPT, Claude, and Google Gemini, enabling direct interaction between large language models and Swiggy’s systems.

“By bringing MCP to quick commerce, food delivery, and dining out, we’re removing friction from daily decisions and enabling a level of ease, personalisation, and joy that makes on-demand convenience feel effortless,” said Madhusudhan Rao, CTO, Swiggy.

Following the rollout, Swiggy stated that Instamart has become the first quick commerce platform globally to adopt MCP. The integration allows users to browse and purchase from an assortment of more than 40,000 SKUs using natural language prompts through supported AI platforms.

MCP is an open-source standard introduced by Anthropic in November 2024. It enables AI models to securely connect with external systems and access live data sources such as databases, files, and APIs. This capability allows large language models to move beyond static responses and deliver more context-aware actions.

In India, the protocol was initially adopted by fintech companies including Razorpay and Cashfree last year to connect proprietary data systems for financial service delivery. Since then, logistics and healthtech startups have also begun using MCP to enhance customer interactions through prompt-based AI interfaces.

Industry observers note that AI adoption in Indian companies is now moving deeper into core business layers. The focus has shifted toward scaling infrastructure, improving delivery operations, and developing new product capabilities, compared to earlier use cases that were largely limited to customer-facing chatbots or isolated operational automation.

The MCP launch adds to Swiggy’s ongoing experimentation with new features aimed at maintaining its market position. In December last year, the company introduced a short-form video feature called Bites under its DineOut segment, allowing users to scroll through a reels-style feed, interact with videos, and share content within the app.

On the financial front, Swiggy reported that its Q2 FY26 net loss increased 74 percent to Rs 1,092 Cr from Rs 626 Cr in Q2 FY25. Operating revenue rose 54 percent to Rs 5,561 Cr in Q2 FY26 compared to Rs 3,601 Cr in the same period last year. The company is scheduled to release its Q3 performance update on January 29. Shares of Swiggy closed the latest trading session 1.68 percent higher at Rs 317 per share on the BSE.