MCP server
by zomato
Find restaurants, read reviews, and order food fast on Zomato — discover great meals near you and get them delivered hot
Connects to Zomato's food delivery service to search restaurants, browse menus, and place food orders directly from your AI assistant.
Zomato is an official MCP server published by zomato that provides AI assistants with tools and capabilities via the Model Context Protocol. Find restaurants, read reviews, and order food fast on Zomato — discover great meals near you and get them delivered hot It is categorized under developer tools.
You can install Zomato in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Zomato is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired Zomato into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Zomato is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Zomato benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Zomato is the kind of server we cite when onboarding engineers to host + tool permissions.
Zomato reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Zomato reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Zomato is the kind of server we cite when onboarding engineers to host + tool permissions.
Zomato reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Zomato is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Zomato for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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An mcp server for your food ordering needs.
⚠️ OAuth Redirect URI Warning: Currently, we have only whitelisted the following redirect URIs for OAuth authentication. Please reach out to us to enable your client:
claude://claude.ai/settings/connectorshttps://chatgpt.com/connector_platform_oauth_redirecthttps://claude.ai/api/mcp/auth_callbackhttps://insiders.vscode.dev/redirecthttps://oauth.pstmn.io/v1/callbackhttps://vscode.dev/redirect
<b>One Click Installation</b>
<b>Manual Installation</b>
Add this to your mcp.json file.
{
"servers": {
"zomato-mcp-server": {
"url": "https://mcp-server.zomato.com/mcp",
"type": "http"
}
},
}
<b> Using Connectors (Requires claude subscription) </b>
https://mcp-server.zomato.com/mcp<b> Using Manual Configuration (Available on free plan) </b>
claude_desktop_config.json in a text editor.{
"mcpServers": {
"zomato-mcp": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp-server.zomato.com/mcp"
]
}
}
}
Get started with these example prompts to explore what the Zomato MCP server can do:
We are not allowing any third party apps to be built on top of Zomato MCP right now due to security and legal considerations. Please reach out to us for any integration discussions.
This is only for testing purposes and Zomato disclaims any and all liabilities that may arise due to erroneous / non-functionality of the MCP integration.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.