AWS DevOps AI

Verified Integration

Author: @running•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect AWS DevOps AI to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "aws-devops-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-aws-devops-ai"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Empowers AI assistants to interact with AWS CLI, enabling command execution and documentation retrieval through the Model Context Protocol.

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for AWS DevOps AI

Security is paramount. AWS DevOps AI is strongly recommended to be deployed within an isolated Docker container and requires AWS IAM credentials configured with the principle of least privilege to limit potential impact.

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