Aws

Created By

alexei-led10 months ago

Overview

What is AWS MCP Server?

AWS MCP Server is a lightweight service that allows AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP). It serves as a bridge between MCP-aware AI assistants and the AWS CLI, enabling seamless interaction with AWS services.

How to use AWS MCP Server?

To use the AWS MCP Server, you can deploy it using Docker or Python. For Docker, clone the repository, build the container, and run it. For Python, set up a virtual environment, install the necessary dependencies, and run the server.

Key features of AWS MCP Server?

Command Documentation: Provides detailed help for AWS CLI commands.
Command Execution: Executes AWS CLI commands and returns formatted results.
Unix Pipe Support: Allows filtering and transforming AWS CLI output using standard Unix utilities.
Prompt Templates: Pre-defined templates for common AWS tasks.
Docker Integration: Easy deployment with multi-architecture support.
AWS Authentication: Utilizes existing AWS credentials on the host machine.

Use cases of AWS MCP Server?

Retrieve AWS CLI documentation for various commands.
Execute AWS CLI commands through AI assistants like Claude Desktop.
Perform security audits and cost optimization for AWS resources.

FAQ from AWS MCP Server?

Can I use AWS MCP Server with any AI assistant?

Yes! It is designed to work with any MCP-aware AI assistant.

Is Docker required to run AWS MCP Server?

While Docker is recommended, you can also run it using Python if you have the AWS CLI installed locally.

How does AWS MCP Server handle security?

It uses AWS credentials from the host machine and validates commands before execution.

Server Config

{
  "mcpServers": {
    "aws": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/Users/YOUR_USER_NAME/.aws:/home/appuser/.aws:ro",
        "ghcr.io/alexei-led/aws-mcp-server:latest"
      ]
    }
  }
}

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