# SmartCut

> SmartCut — jgmedialtd-smartcut-api. Use this tool when you need to optimize cutting processes for various materials, such as sheet goods, linear stock, and roll goods, to minimize waste and improve efficiency. SmartCut solves problems like material optimization, nesting, and cutting pattern generation, taking into account factors like grain direction and blade kerf. It accepts lists of parts and available stock as input and outputs machine-ready cutting patterns.

Canonical page: https://skillsregistry.net/skills/jgmedialtd-smartcut-api  
JSON: https://api.skillsregistry.net/v1/skills/jgmedialtd-smartcut-api

## Description

SmartCut is a hosted cutting-optimisation API. It turns a list of parts and available stock into machine-ready cutting patterns for sheet materials (plywood, MDF, glass, plastic, sheet metal), linear stock (timber, bar, pipe, extrusion) and roll goods. Guillotine and true-shape nesting modes, with grain direction, per-part orientation locks, edge banding, blade kerf and  stock trim.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vyg44jga2q)
- **Repository:** <https://github.com/jgmedialtd/smartcut-api>

## 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": "jgmedialtd-smartcut-api"
    }
  }
}
```

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