# FoodBlock

> Use this tool when you need to organize and structure food-related data from unstructured sources, such as natural language descriptions, to enable efficient tracking, certification, and review processes across the food industry lifecycle. FoodBlock converts text into standardized data blocks covering key aspects like actors, places, and substances. Ideal for applications requiring universal food data management, supply chain transparency, and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/foodblock  
JSON: https://api.skillsregistry.net/v1/skills/foodblock

## Description

Provides tools for working with the FoodBlock content-addressable protocol for universal food data. Converts natural language food descriptions into structured data blocks covering six base types: actors, places, substances, transforms, transfers, and observations. Supports the full food industry lifecycle from farm to consumer including supply chain tracking, certifications, and reviews.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/foodblock)
- **Repository:** <https://github.com/foodxdevelopment/foodblock/tree/HEAD/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": "foodblock"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/foodblock` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/foodblock/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
