# mise-en-place

> mise-en-place — edgargalvan-mise-en-place. Use this tool when you need to retrieve accurate macronutrient data for specific ingredients and quantities. It solves problems related to nutrition information retrieval, providing verified data from USDA FoodData Central with caveats for uncertain matches. The tool takes ingredient names and quantities as input and outputs structured macronutrient data, including calories, protein, carbs, and fat.

Canonical page: https://skillsregistry.net/skills/edgargalvan-mise-en-place  
JSON: https://api.skillsregistry.net/v1/skills/edgargalvan-mise-en-place

## Description

Enables LLMs to retrieve verified macronutrient data (calories, protein, carbs, fat) for real ingredients and quantities from USDA FoodData Central, with structured caveats for uncertain matches.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kccbrxon7j)
- **Repository:** <https://github.com/edgargalvan/mise-en-place>

## 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": "edgargalvan-mise-en-place"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edgargalvan-mise-en-place` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edgargalvan-mise-en-place/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