# Terminal Shell

> Use this tool when you need to execute shell commands programmatically within a controlled environment. The Terminal Shell solves problems requiring automated terminal operations, such as file management, process execution, and system configuration, by providing a lightweight server implementation that exposes a shell command tool. It accepts shell commands as input and returns output from the terminal, ideal for use cases like automated testing, deployment, and system administration.

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

## Description

MCPServe provides a lightweight server implementation for executing shell commands through the Model Context Protocol. Built by Ryan Eggleston, it leverages the langchain-mcp-adapters library to create a FastMCP server that exposes a shell_command tool, allowing AI assistants to run terminal commands in a containerized environment. The implementation includes Docker configuration for easy deployment, environment variable support for debugging and logging, and optional API key authentication. This server is particularly useful for scenarios requiring programmatic access to shell operations within a controlled, isolated environment.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ryaneggz-terminal-shell)
- **Repository:** <https://github.com/ruska-ai/mcp-sse>

## 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": "ryaneggz-terminal-shell"
    }
  }
}
```

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