swiggy
Order food, groceries, and book restaurants in India via Swiggy's MCP servers. Food delivery, Instamart groceries, and Dineout restaurant bookings with safety-first confirmation workflow.
Best use case
swiggy is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Order food, groceries, and book restaurants in India via Swiggy's MCP servers. Food delivery, Instamart groceries, and Dineout restaurant bookings with safety-first confirmation workflow.
Teams using swiggy should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sr1/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How swiggy Compares
| Feature / Agent | swiggy | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Order food, groceries, and book restaurants in India via Swiggy's MCP servers. Food delivery, Instamart groceries, and Dineout restaurant bookings with safety-first confirmation workflow.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
Cursor vs Codex for AI Workflows
Compare Cursor and Codex for AI coding workflows, repository assistance, debugging, refactoring, and reusable developer skills.
SKILL.md Source
# Swiggy Skill
Order food, groceries, and book restaurants in India via Swiggy's MCP servers.
## Installation
The skill includes a `swiggy` CLI binary. After installing the skill:
```bash
cd skills/swiggy
npm link
```
This creates a global `swiggy` command. Verify with: `which swiggy`
## When to Use
- Food delivery: "Order biryani", "What's open late?", "Team lunch for 8"
- Groceries (Instamart): "Get eggs and milk", "Weekly groceries", "Recipe ingredients"
- Restaurant bookings (Dineout): "Book dinner Saturday 8pm", "Italian in Koramangala"
## Available Commands
### Food Delivery
```bash
# Search restaurants
swiggy food search "biryani" --location "Koramangala, Bengaluru"
# Get menu
swiggy food menu <restaurant-id>
# Cart management
swiggy food cart add <item-id> --quantity 2
swiggy food cart show
swiggy food cart clear
# Order (requires confirmation)
swiggy food order --address "home" --confirm
```
### Instamart (Groceries)
```bash
# Search products
swiggy im search "eggs" --location "HSR Layout, Bengaluru"
# Cart operations
swiggy im cart add <item-id> --quantity 3
swiggy im cart show
swiggy im cart clear
# Checkout (requires confirmation)
swiggy im order --address "home" --confirm
```
### Dineout (Restaurant Bookings)
```bash
# Search restaurants
swiggy dineout search "Italian Indiranagar"
# Get details
swiggy dineout details <restaurant-id>
# Check availability
swiggy dineout slots <restaurant-id> --date 2026-01-30
# Book table (free bookings only, requires confirmation)
swiggy dineout book <restaurant-id> --date 2026-01-30 --time 20:00 --guests 2 --confirm
```
## CRITICAL: Safety Rules
### ⚠️ NEVER Auto-Order
**ALWAYS get explicit confirmation before placing orders.**
1. **Show cart preview first:**
- All items with quantities and prices
- Total amount
- Delivery address
- Estimated delivery time (food/groceries)
2. **Ask for confirmation:**
```
Ready to order:
- 2x Chicken Biryani (₹500)
- 1x Raita (₹60)
Total: ₹560 + delivery
Deliver to: Home (HSR Layout)
ETA: 30-40 mins
Confirm order? (yes/no)
```
3. **Only after user says YES:**
- Run the order command with `--confirm` flag
- Log to `memory/swiggy-orders.json`
### COD Warning
Swiggy MCP currently supports **Cash on Delivery only**. Orders **cannot be cancelled** once placed. Always double-check before confirming.
### Address Handling
- User may say "home", "office", etc. - map to actual addresses from USER.md or ask
- Always confirm delivery location in preview
- For Dineout, location is used for search only (not delivery)
## Workflow Examples
### Food Order Flow
```bash
# 1. Search
swiggy food search "biryani near Koramangala"
# 2. Browse menu (use restaurant ID from search)
swiggy food menu rest_12345
# 3. Add to cart
swiggy food cart add item_67890 --quantity 1
# 4. Preview cart
swiggy food cart show
# 5. Show preview to user, ask confirmation
# 6. If confirmed, order
swiggy food order --address "HSR Layout, Sector 2, Bengaluru" --confirm
```
### Grocery Shopping Flow
```bash
# 1. Search items
swiggy im search "eggs" --location "Koramangala"
swiggy im search "milk" --location "Koramangala"
# 2. Add to cart
swiggy im cart add item_11111 --quantity 2
swiggy im cart add item_22222 --quantity 1
# 3. Preview
swiggy im cart show
# 4. Confirm with user
# 5. Checkout
swiggy im order --address "Koramangala, Bengaluru" --confirm
```
### Restaurant Booking Flow
```bash
# 1. Search
swiggy dineout search "Italian Indiranagar"
# 2. Check details
swiggy dineout details rest_99999
# 3. Check slots
swiggy dineout slots rest_99999 --date 2026-01-30
# 4. Show options to user, confirm choice
# 5. Book
swiggy dineout book rest_99999 --date 2026-01-30 --time 20:00 --guests 2 --confirm
```
## Error Handling
- **No results:** Suggest broader search or different location
- **Out of stock:** Show alternatives
- **No slots available:** Suggest different times/dates
- **Authentication required:** User needs to authenticate via OAuth (handled by MCP)
## Tips
- For team orders: build cart iteratively, ask for preferences
- For budget shopping: filter results by price, show running total
- For recipe-to-cart: search each ingredient, add progressively
- For late night: mention delivery time in search criteria
## Order Logging
After successful order, append to `memory/swiggy-orders.json`:
```json
{
"timestamp": "2026-01-28T21:16:00+05:30",
"type": "food",
"items": [...],
"total": "₹560",
"address": "HSR Layout",
"orderId": "..."
}
```
## Authentication
Swiggy MCP uses OAuth. First use will trigger auth flow. The `swiggy` CLI handles this via mcporter.
## Dependencies
- Requires `mcporter` skill (uses it under the hood)
- Node.js runtime for the CLI wrapper
## Known Limitations
- COD only (no online payment yet)
- Orders cannot be cancelled
- Dineout: free bookings only
- Don't open Swiggy app while using MCP (session conflicts)
---
**Remember: Confirmation BEFORE ordering. Every. Single. Time.** 🐾Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述