# Command Executor

> Use this tool when you need to execute pre-approved system commands securely, automating tasks such as deployments, health checks, and file operations within defined constraints. It provides a secure interface for AI assistants to run system commands, abstracting complexities and security considerations. Ideal for automation, system management, and controlled access to system resources, it integrates easily into existing workflows as a binary executable.

Canonical page: https://skillsregistry.net/skills/sunwood-ai-labs-command-executor  
JSON: https://api.skillsregistry.net/v1/skills/sunwood-ai-labs-command-executor

## Description

This command executor MCP server, developed by an unknown author, enables AI assistants to execute pre-approved commands on a host system. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a secure interface for running system commands within defined constraints. The server implements a binary executable that can be easily integrated into existing workflows. By abstracting the complexities of command execution and security considerations, it allows AI systems to perform authorized actions on the host environment. This implementation is particularly useful for automation tasks, system management, and scenarios where controlled access to system resources is required, facilitating use cases such as automated deployments, system health checks, and managed file operations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sunwood-ai-labs-command-executor)
- **Repository:** <https://github.com/sunwood-ai-labs/command-executor-mcp-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": "sunwood-ai-labs-command-executor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sunwood-ai-labs-command-executor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sunwood-ai-labs-command-executor/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