CLI Command Explainer MCP Server

@zmwaiworld

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

zmwaiworld

提交者

Zhenming Wang

关于 CLI Command Explainer MCP Server

Know what every shell command does before you approve it.

#security #cli #shell #developer-tools #coding-agent #command-line #risk-assessment

CLI Command Explainer MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "cmd-explain": {
      "command": "npx",
      "args": [
        "-y",
        "cmd-explain"
      ]
    }
  }
}

CLI Command Explainer MCP Server 工具

Explains a CLI command in one sentence. Returns the explanation, risk level (low/medium/high), and parsed command structure.

概览

What is CLI Command Explainer?

CLI Command Explainer is an MCP server that intercepts every shell command an AI coding agent proposes to run and displays a plain-English explanation with a risk rating before the user approves or denies it. It works with Kiro, Cursor, VS Code, Windsurf, and Claude Code.

How to use CLI Command Explainer?

Run npx cmd-explain setup — the command auto-detects your IDE, installs the MCP server, and creates a pre‑command hook. Restart your IDE and every agent‑proposed shell command will be explained automatically. Manual install by adding the MCP configuration is also supported.

Key features of CLI Command Explainer

Built‑in dictionary covering 240+ programs and 440+ command explanations
Falls back to system man pages for installed tools (Tier 2)
Optional local AI via Ollama, OpenAI, or Anthropic (Tier 3)
Risk classification: low (read‑only), medium (state‑changing), high (destructive)
Detects common shell patterns like 2>&1, || true, and command substitution
Supports macOS, Linux, and Windows with zero‑config setup

Use cases of CLI Command Explainer

Understanding what a complex agent‑proposed command actually does before approving it
Avoiding dangerous commands like rm -rf / or curl … | sudo bash
Learning the meaning of shell flags and redirections without leaving the flow
Adding a security layer to AI coding agents in team or production environments

常见问题

What are the requirements to run CLI Command Explainer?

Node.js 18 or later is required. No API keys, no Ollama installation, and no configuration files are needed for the built‑in and man‑page tiers.

How does CLI Command Explainer get its explanations?

It uses three tiers checked in order: a built‑in dictionary (Tier 1, ~90% of agent commands), system man pages (Tier 2), and optional local AI via Ollama, OpenAI, or Anthropic (Tier 3). Tiers 1 and 2 are fully offline.

What does the risk classification mean?

Low risk means read‑only commands with no side effects. Medium risk means state‑changing but reversible operations. High risk means destructive or irreversible actions. Unknown risk is applied to commands not recognized by any tier.

Does CLI Command Explainer work on Windows?

Setup and the dictionary work on Windows. Man‑page parsing (Tier 2) uses `--help` only; the other tiers work fully.

How do I remove CLI Command Explainer?

Run `npx cmd-explain uninstall`. This removes the MCP configuration and hook files from all detected IDEs cleanly.

开发工具分类下的更多 MCP 服务器

Rams

HSLA0001 Inc.

Design review for UI code, inside your agent. quick_review checks the files you just changed in about ten seconds. review_files returns a 0-100 score and patches. verify_fixes confirms the fixes landed, free. review_url

SSH MCP Server

hypnosis

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

Routebase

Routebase keeps your API's design, docs, contract tests, mocks and monitoring in one living OpenAPI spec so they can't drift apart. Agents work on that same source of truth, under your team's permissions.

Foremerge

naw103

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.

Capgo MCP

Cap-go

Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app