# MCPShell

> Use this tool when you need to securely integrate Large Language Models (LLMs) with operating system commands, providing a controlled and validated interface to system utilities and administrative functions. MCPShell solves the problem of securely bridging AI and OS commands, accepting YAML-based configurations and CEL expressions as inputs, and producing validated command executions as outputs. It is ideal for use cases requiring robust security, such as diagnostics, system administration, and controlled access to system tools.

Canonical page: https://skillsregistry.net/skills/inercia-mcpshell  
JSON: https://api.skillsregistry.net/v1/skills/inercia-mcpshell

## Description

MCPShell provides a secure bridge between LLMs and operating system commands through a configurable YAML-based interface. Developed by Alvaro, it features constraint-based security using CEL expressions to validate parameters before execution, multiple sandboxing options (including macOS sandbox-exec and Linux firejail), template-based command generation, and robust error handling. The implementation supports both direct command execution and server mode, making it particularly valuable for scenarios where AI assistants need controlled access to system utilities, diagnostics tools, or administrative functions without compromising security.

## 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:** 2026-05-18

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/inercia-mcpshell)
- **Repository:** <https://github.com/inercia/mcpshell>

## 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": "inercia-mcpshell"
    }
  }
}
```

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