Amazon Q CLI MCP Server

Amazon Q CLI MCP Server

Wraps the Amazon Q CLI to enable MCP hosts to interact with Amazon Q's AI capabilities for chat, command translation, and status checks.

Category
访问服务器

README

Amazon Q CLI MCP Server

A Model Context Protocol (MCP) server that wraps the Amazon Q CLI, enabling MCP hosts (Claude Desktop, VS Code, Rovo Dev CLI, etc.) to interact with Amazon Q's AI capabilities.

Features

  • ask_q / take_q: Chat with Amazon Q CLI for AI assistance
  • q_translate: Convert natural language to shell commands
  • q_status: Check Amazon Q CLI installation and configuration
  • fetch_chunk: Fetch byte ranges from HTTP URLs
  • Session Management: Automatic session persistence with conversation history
  • Error Recovery: Intelligent retry logic with exponential backoff
  • Security: Input validation, command whitelisting, and resource limits

Prerequisites

  • Amazon Q CLI: Install from AWS documentation
  • AWS Credentials: Configure via aws configure or environment variables
  • Node.js: Version 18 or higher

Installation

From npm

npm install -g amazon-q-cli-mcp-server

From source

git clone <repository>
cd amazon-q-cli-mcp-server
npm install
npm run build
npm install -g .

Usage

Claude Desktop

Add to claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "amazon-q-cli": {
      "command": "amazon-q-mcp-server",
      "args": []
    }
  }
}

Rovo Dev CLI

Add to ~/.rovodev/mcp.json:

{
  "mcpServers": {
    "amazon-q-cli": {
      "command": "amazon-q-mcp-server",
      "args": [],
      "transport": "stdio"
    }
  }
}

Note: If you encounter GLIBC version conflicts with Rovo Dev CLI, create a wrapper script:

#!/bin/bash
# Clear LD_LIBRARY_PATH to avoid conflicts
unset LD_LIBRARY_PATH
exec amazon-q-mcp-server "$@"

Then use the wrapper script path in your configuration.

Claude Code CLI

claude mcp add -s user amazon-q-cli amazon-q-mcp-server

Available Tools

ask_q / take_q

Chat with Amazon Q CLI for AI assistance.

Parameters:

  • prompt (required): Question or prompt for Amazon Q
  • model (optional): Model to use
  • agent (optional): Agent/context profile

q_translate

Convert natural language to shell commands.

Parameters:

  • task (required): Natural language description

q_status

Check Amazon Q CLI installation and configuration.

Parameters: None

fetch_chunk

Fetch byte ranges from HTTP URLs.

Parameters:

  • url (required): HTTP/HTTPS URL
  • start (optional): Start byte offset (default: 0)
  • length (optional): Bytes to fetch (default: 65536, max: 10MB)
  • headers (optional): Request headers

Troubleshooting

Normal Startup Messages

[Amazon Q MCP] init Amazon Q CLI MCP Server
[Amazon Q MCP] Amazon Q CLI MCP Server listening on stdio

Common Issues

Q CLI not found:

which q
q --version

AWS credentials:

aws configure
# or set environment variables
export AWS_ACCESS_KEY_ID=your-key
export AWS_SECRET_ACCESS_KEY=your-secret
export AWS_DEFAULT_REGION=us-west-2

GLIBC version conflicts (Rovo Dev CLI): Create a wrapper script that clears LD_LIBRARY_PATH before executing the server.

MCP server not starting:

  • Check that the command path is correct
  • Verify Node.js is accessible
  • Ensure proper permissions on executable files

Development

npm run build    # Build TypeScript
npm run dev      # Watch mode
npm test         # Run tests

Architecture

MCP Host (Claude Desktop, Rovo Dev CLI, etc.)
    ↓ (MCP Protocol)
Amazon Q CLI MCP Server
    ↓ (Process execution with security)
Amazon Q CLI (`q` command)
    ↓ (AWS API calls)
Amazon Q Service

License

Apache License 2.0 - see LICENSE file for details.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选