Zomato▌
by zomato
Find restaurants, read reviews, and order food fast on Zomato — discover great meals near you and get them delivered hot
Search for restaurants and order food on Zomato
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Ordering food without leaving your development environment
- / Building food delivery integrations or applications
- / Automating restaurant research and menu browsing
capabilities
- / Search for nearby restaurants by location and preferences
- / Browse restaurant menus with prices and ratings
- / Create and customize food orders in cart
- / Place food orders with tracking support
- / Process payments using QR code integration
what it does
Connects to Zomato's food delivery service to search restaurants, browse menus, and place food orders directly from your AI assistant.
about
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.
how to install
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.
license
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.
readme
Zomato MCP Server
An mcp server for your food ordering needs.
Supported Features
- 🔎 Restaurant Discovery - Find nearby restaurants based on your location and preferences.
- 📒 Menu Browsing - Browse through detailed menus with prices, descriptions, and ratings.
- 🛒 Cart Creation - Add items to your cart and customize orders with ease.
- 🥗 Food Ordering - Place orders seamlessly with order tracking support.
- 💳 QR code payment - Complete secure payments using QR code integration.
Installation Guide
⚠️ 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
Install in VsCode
<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"
}
},
}
Install on Claude
<b> Using Connectors (Requires claude subscription) </b>
- Open Claude
- Go to Settings -> Connectors -> Add custom connector
- Use the URL:
https://mcp-server.zomato.com/mcp - Save and Restart Claude
<b> Using Manual Configuration (Available on free plan) </b>
- Open Claude
- Go to Settings -> Developer -> Edit Config
- Open
claude_desktop_config.jsonin a text editor. - Add the following configuration:
{ "mcpServers": { "zomato-mcp": { "command": "npx", "args": [ "mcp-remote", "https://mcp-server.zomato.com/mcp" ] } } }
Example Prompts
Get started with these example prompts to explore what the Zomato MCP server can do:
- "Show me the best rated restaurants near me"
- "Find pizza places within 3km"
- "Show me vegan restaurants in my area"
- "Add 2 margherita pizzas from dominoz to my cart"
- "Order my usual coffee"
- "Reorder from my last order"
- "Order butter chicken with naan from a nearby restaurant"
Disclaimer
-
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.
FAQ
- What is the Zomato MCP server?
- Zomato is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Zomato?
- This profile displays 54 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★54 reviews- ★★★★★Amina Ndlovu· Dec 24, 2024
We wired Zomato into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kofi Ghosh· Dec 8, 2024
Zomato is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Pratham Ware· Dec 4, 2024
According to our notes, Zomato benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Lucas Wang· Nov 27, 2024
Useful MCP listing: Zomato is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Layla Zhang· Nov 15, 2024
Zomato reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Layla Chen· Oct 18, 2024
Zomato reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Aditi Jackson· Oct 6, 2024
Useful MCP listing: Zomato is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★James Brown· Sep 17, 2024
Zomato reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Sakura Agarwal· Sep 17, 2024
Useful MCP listing: Zomato is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Sep 9, 2024
I recommend Zomato for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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