AWS SDK

🚀 AWS MCP: Application of Model Context Protocol (MCP) on AWS

MCP simplifies the interaction between large language models and AWS resources, providing a unified way for data integration and resource management.

🚀 Quick Start

What is Model Context Protocol (MCP)?

Introduction to MCP

MCP (Model Context Protocol) is an open standard protocol that specifies how applications provide context information for large language models (LLMs). Imagine MCP as the USB-C interface in the AI field. Just as USB-C provides a unified connection method between devices and various accessories, MCP also offers a unified way for AI models to interact with various data sources and tools.

Why Choose MCP?

MCP makes it easier to build intelligent agents and automated processes based on LLMs. Large language models usually need to integrate with other data sources and tools, and MCP offers the following advantages:

• Growing off-the-shelf integrations: Allows your LLM to directly connect to various resources.
• High flexibility: Supports easy switching between different LLM providers.
• Best data security practices: Ensures that the data in your infrastructure is properly protected.

Overall Architecture

At a basic level, MCP follows a client-server architecture, where the main application can communicate with multiple servers:


• MCP Server: Responsible for handling actual AWS API calls and returning results.
• Client (Claude): Interacts with the MCP Server by sending natural language requests.

✨ Features

Using MCP on AWS

Installation Preparation

Installing MCP requires the following tools:

brew install node@20  # Install Node.js v20 using Homebrew
npm install -g pnpm  # Install the pnpm package manager
git clone https://github.com/RafalWilinski/aws-mcp.git  # Clone the repository
cd aws-mcp && pnpm install  # Enter the directory and install dependencies

Configuring Claude

To enable Claude to connect to the MCP Server, you need to modify its configuration file:

{
  "mcpServers": {
    "aws": {
      "command": "node",
      "args": [
        "--silent",
        "--prefix",
        "/Users/your_username/aws-mcp",
        "start"
      ]
    }
  }
}

Starting the Service

After configuration is complete, you can start the MCP Server:

cd /Users/your_username/aws-mcp && pnpm start

Advantages and Use Cases of MCP

With MCP, you can perform the following operations in Claude:

• Query available AWS configuration files.
• List all EC2 instances.
• View S3 buckets and their sizes.
• Check Lambda functions deployed in the us-east-1 region.
• List ECS clusters and their services.

📚 Documentation

MCP provides a powerful and easy way to manage AWS resources using Claude. Complex cloud operations can be completed through natural language interaction, significantly simplifying the AWS management process. If you're looking for an alternative to Amazon Q, MCP is definitely a worthy option!

⚠️ Important Note

The above content is translated and compiled based on the open-source project of Rafal Wilinski.