# Agentic Swiggy MCP Server

> Agentic Swiggy MCP Server — ichibu013-swiggy-agentic-mcp. Use this tool when you need to automate food delivery interactions with natural language processing, enabling customers to order, track, and review their experiences seamlessly. It solves problems of cumbersome ordering processes, limited personalized recommendations, and inefficient customer support. The Agentic Swiggy MCP Server takes in natural language inputs and outputs personalized recommendations, order updates, and review responses via a LangGraph ReAct agent.

Canonical page: https://skillsregistry.net/skills/ichibu013-swiggy-agentic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ichibu013-swiggy-agentic-mcp

## Description

MCP server that mimics a food delivery assistant, enabling natural language ordering, personalized recommendations, order tracking, and review/policy queries via a LangGraph ReAct agent with human-in-the-loop approval.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x0d4e6viav)
- **Repository:** <https://github.com/Ichibu013/Swiggy-Agentic-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ichibu013-swiggy-agentic-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ichibu013-swiggy-agentic-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ichibu013-swiggy-agentic-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt