# Shell Command Executor

> Use this tool when you need to execute shell commands on a host system, automate tasks, or perform system operations through a standardized interface. It solves problems related to system automation, remote command execution, and environment detection, supporting various shells and operating systems. The tool takes shell commands as input and returns execution results, making it ideal for AI agents that require seamless interaction with the host system.

Canonical page: https://skillsregistry.net/skills/mkusaka-shell  
JSON: https://api.skillsregistry.net/v1/skills/mkusaka-shell

## Description

MCP Shell Server provides a secure bridge for AI assistants to execute shell commands on the host system through a standardized interface. Developed by mkusaka, it supports various shells (bash, zsh, powershell, cmd) across different operating systems with automatic detection of the user's environment. The server exposes a single 'shell_exec' tool for command execution and several system information resources including hostname, platform, and user details. It features comprehensive error handling, logging capabilities, and configurable shell selection via command-line options, making it particularly valuable for AI agents that need to perform system operations or automate tasks without leaving the conversation interface.

## 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:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mkusaka-shell)
- **Repository:** <https://github.com/mkusaka/mcp-shell-server>

## 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": "mkusaka-shell"
    }
  }
}
```

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