# MealOS

> Use this tool when you need to streamline food ordering and meal planning across multiple platforms. MealOS solves the problem of navigating separate apps for Swiggy Food, Instamart, and Dineout by allowing users to plan meals and place orders directly from Claude Desktop conversations. It takes user input for meal preferences and outputs a seamless ordering experience across these platforms.

Canonical page: https://skillsregistry.net/skills/naga-pavan12-mealos  
JSON: https://api.skillsregistry.net/v1/skills/naga-pavan12-mealos

## Description

Enables users to plan meals and place orders across Swiggy Food, Instamart, and Dineout directly from Claude Desktop conversations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/upkxtqj4ju)
- **Repository:** <https://github.com/naga-pavan12/mealOS>

## 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": "naga-pavan12-mealos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/naga-pavan12-mealos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/naga-pavan12-mealos/pull`

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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