# MCP Command Server

> Use this tool when you need to securely execute system commands from LLM applications, solving security risks and access control problems. It takes in user requests and confirmed commands as input, and outputs the execution results, providing a safe interface for command execution. Ideal for use cases requiring controlled and audited system command access.

Canonical page: https://skillsregistry.net/skills/andrew-beniash-mcp-command-server  
JSON: https://api.skillsregistry.net/v1/skills/andrew-beniash-mcp-command-server

## Description

A secure server that allows LLM applications like Claude to execute whitelisted system commands with user confirmation and comprehensive security features.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q5rkxotu8n)
- **Repository:** <https://github.com/Andrew-Beniash/mcp-command-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": "andrew-beniash-mcp-command-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andrew-beniash-mcp-command-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andrew-beniash-mcp-command-server/pull`

---
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