# menus-mcp

> menus-mcp — spyyps-recommend-dish. Use this tool when you need to generate personalized dish recommendations based on user preferences, such as cuisine, price, and keywords. It solves the problem of discovering new dishes and providing users with tailored suggestions, taking into account their unique tastes and preferences. The tool accepts user input (e.g., keywords, cuisine, price) and outputs a list of recommended dishes from a global cuisine knowledge base.

Canonical page: https://skillsregistry.net/skills/spyyps-recommend-dish  
JSON: https://api.skillsregistry.net/v1/skills/spyyps-recommend-dish

## Description

Recommends dishes from a global cuisine knowledge base based on user preferences (keywords, cuisine, price, etc.) via weighted random selection with bias correction and diversity.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kwecxdwnyt)
- **Repository:** <https://github.com/spyyps/recommend-dish>

## 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": "spyyps-recommend-dish"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spyyps-recommend-dish` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spyyps-recommend-dish/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