# Terminal

> Use this tool when you need to execute shell commands in a secure and controlled environment, solving problems such as automated system management and development workflows that require limited shell access. It provides a safe interface for AI assistants to interact with system-level operations, accepting shell commands as input and producing output within defined size limits. Ideal for use cases requiring strict security boundaries and resource controls, it offers features like command whitelisting and timeout controls to ensure robust security.

Canonical page: https://skillsregistry.net/skills/rinardnick-terminal  
JSON: https://api.skillsregistry.net/v1/skills/rinardnick-terminal

## Description

This MCP terminal server, developed by Nicholas Rinard, provides a secure interface for AI assistants to execute shell commands in a controlled environment. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers robust security features including command whitelisting, timeout controls, and output size limits. The implementation focuses on safe command execution, making it easier for AI models to interact with system-level operations without compromising security. It's particularly useful for scenarios requiring controlled access to terminal functionality, such as automated system management, development workflows, or providing AI assistants with limited shell access, while maintaining strict security boundaries and resource controls.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

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

## 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": "rinardnick-terminal"
    }
  }
}
```

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