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OfficialCloudAWS

AWS MCP

The official AWS MCP server provides a comprehensive interface for AI models to interact with Amazon Web Services (AWS). It enables models to query resource metadata, manage EC2 instances, interact with S3 buckets, and monitor cloud infrastructure across the vast AWS ecosystem. This is an essential tool for cloud engineers and DevOps professionals looking to automate AWS management using AI.

How to Install

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1. Ensure you have an MCP client installed (e.g., Claude Desktop)

2

2. Click 'Visit Source' below to get the code or package

3

3. Follow the README instructions in the project

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4. Add the server configuration to your MCP client config file

Configuration Example (claude_desktop_config.json)

{
  "mcpServers": {
    "aws": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-aws"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_KEY_ID",
        "AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_KEY",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

Key Features

List and describe AWS resources (EC2, S3, RDS, etc.)

Execute management commands and infrastructure updates

Retrieve CloudWatch logs and monitoring metrics

Support for multiple AWS accounts and regions

Server Details

The official AWS MCP server provides a comprehensive interface for AI models to interact with Amazon Web Services (AWS). It enables models to query resource metadata, manage EC2 instances, interact with S3 buckets, and monitor cloud infrastructure across the vast AWS ecosystem. This is an essential tool for cloud engineers and DevOps professionals looking to automate AWS management using AI.

Pricing

free

Tags

OfficialCloudAWS

Visit Source / Official Link

Go to the official GitHub repository to view source code, documentation, and installation instructions.

GitHub Repository