# mcp_command-line_tool

> Use this tool when you need to automate tasks, process data, or execute system commands via a command-line interface. It solves problems related to workflow automation, data processing, and system administration by providing a flexible and scriptable way to interact with systems. The tool accepts command-line arguments and inputs, and outputs results in a text-based format, making it suitable for use in a variety of contexts, including scripting and automation tasks.

Canonical page: https://skillsregistry.net/skills/gengzi-mcp-command-line-tool  
JSON: https://api.skillsregistry.net/v1/skills/gengzi-mcp-command-line-tool

## Description

mcp\_command-line\_tool

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k4cazo07ku)
- **Repository:** <https://github.com/gengzi/mcp_command-line_tool>

## 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": "gengzi-mcp-command-line-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gengzi-mcp-command-line-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gengzi-mcp-command-line-tool/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