Zomato MCP Demo

Zomato has officially launched an MCP (Model Context Protocol) Server — enabling AI assistants like Claude and ChatGPT to interact with real-world food ordering systems directly through chat.

This repository contains a quick setup guide and demo videos to help you configure and test the Zomato MCP integration inside Claude Desktop.

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🚀 What You'll Learn

• 🔧 How to configure Claude Desktop to connect with Zomato's MCP Server
• 🔎 Discover restaurants based on your location & preferences
• 📒 Browse detailed menus with prices, ratings, and categories
• 🛒 Add items to your cart and simulate food ordering
• 💳 Experience secure QR-based payment simulation

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⚙️ Prerequisites

• Installed Claude Desktop
• Installed Node.js (verify with node -v)
• Basic understanding of JSON configuration

Download Node.js here: https://nodejs.org

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💬 Install in Claude Desktop

Step 1: Open Developer Settings

1. Go to Settings → Developer
2. Click Edit Config

Step 2: Add the Zomato MCP Server configuration

Paste the following inside your claude_desktop_config.json file:

{
  "mcpServers": {
    "zomato-mcp": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp-server.zomato.com/mcp"
      ]
    }
  }
}

Step 3: Save and Restart

After saving the configuration, restart Claude Desktop to load the new MCP server.

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📹 Demo Videos

🎥 1. Setting Up MCP in Claude Desktop

🔗 Watch Setup Video

🎥 2. Zomato MCP Demo — Restaurant Discovery to Payment

🔗 Watch Demo Video

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🧠 How It Works

The Zomato MCP Server exposes APIs that Claude (or any MCP-compatible client) can call during a conversation.

This allows real-time restaurant lookup, menu retrieval, cart management, and simulated ordering — directly through chat commands.

For OAuth authentication, Zomato currently whitelists:

• localhost
• chatgpt.com

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👨‍💻 Author

Pranesh S
AI & Web Developer | MCP Integrator | B.Tech AIML

🌐 GitHub • 💼 LinkedIn

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⭐ Support & Contribution

If this repo helped you set up or understand MCP integrations,
🌟 Star the repository — it supports my work and helps others discover it!

Pull requests, improvements, and suggestions are welcome.