# Toolbox

> Use this tool when you need to enhance Large Language Models (LLMs) with external services and utilities, solving problems such as limited interaction with design files, file management, and command line instructions. It provides a comprehensive API integration and utility toolbox, accepting inputs such as command line instructions and Figma files, and outputting enhanced LLM interactions. Ideal for use cases like UI/UX design workflows, automated file management, and integrating LLMs with external services.

Canonical page: https://skillsregistry.net/skills/ai-zerolab-toolbox  
JSON: https://api.skillsregistry.net/v1/skills/ai-zerolab-toolbox

## Description

This MCP server implementation provides a comprehensive toolbox for enhancing Large Language Models (LLMs) through various API integrations and utilities. Developed by ai-zerolab, it offers tools for executing command line instructions, interacting with Figma files, and performing file operations. The server is designed with an extensible architecture, allowing easy addition of new API integrations. It supports Claude Desktop and other MCP-enabled LLMs, making it suitable for a wide range of use cases including UI/UX design workflows, automated file management, and enhanced LLM interactions with external services.

## 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:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ai-zerolab-toolbox)
- **Repository:** <https://github.com/ai-zerolab/mcp-toolbox>

## 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": "ai-zerolab-toolbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-zerolab-toolbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-zerolab-toolbox/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