# mcp-linux-ops

> Use this tool when you need to interact with a Linux system, execute shell commands, or perform file operations. It solves problems such as automating system tasks, reading and writing files, and executing custom scripts, providing inputs like command strings and file paths, and outputs like execution results and file contents. Ideal for use cases requiring direct Linux system interaction, such as data processing, system automation, and workflow management.

Canonical page: https://skillsregistry.net/skills/zql78-mcp-linux-ops  
JSON: https://api.skillsregistry.net/v1/skills/zql78-mcp-linux-ops

## Description

Enables LLMs to execute shell commands and perform file operations on a Linux system, exposing tools like execute_command, read_file, write_file, and more.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q995q7w1bd)
- **Repository:** <https://github.com/zql78/mcp-linux-ops>

## 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": "zql78-mcp-linux-ops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zql78-mcp-linux-ops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zql78-mcp-linux-ops/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