# Run Shell Command

> Use this tool when you need to execute system commands directly from a chat interface, solving problems such as quickly finding services using specific ports or performing other system operations without leaving your coding environment. It takes natural language prompts as input and outputs the results of the executed shell commands. Ideal for developers who require efficient system management within their development workflow.

Canonical page: https://skillsregistry.net/skills/benyue1978-run-command  
JSON: https://api.skillsregistry.net/v1/skills/benyue1978-run-command

## Description

The Run Command MCP server enables AI assistants to execute shell commands directly from Cursor chat. Based on the Model Context Protocol (MCP) framework, this TypeScript implementation allows users to run system commands through natural language prompts, such as finding services using specific ports. The server leverages Node.js and the MCP SDK to create a bridge between the AI assistant and the local system shell, making it particularly useful for developers who need to perform quick system operations without leaving their coding environment.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/benyue1978-run-command)
- **Repository:** <https://github.com/benyue1978/run-command-mcp>

## 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": "benyue1978-run-command"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benyue1978-run-command` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benyue1978-run-command/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