A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.
Overview
What is AWS MCP Server?
AWS Model Context Protocol (MCP) Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP).
How to use AWS MCP Server?
To use the AWS MCP Server, you can deploy it using Docker or Python. After starting the server, MCP-aware AI assistants can connect to it and use tools to retrieve AWS CLI documentation and execute commands.
Key features of AWS MCP Server?
- Fully implements the Model Context Protocol (MCP)
- Provides detailed help information for AWS CLI commands
- Executes AWS CLI commands and returns human-readable results
- Supports Docker for easy deployment with multi-architecture support
- Utilizes existing AWS credentials on the host machine
Use cases of AWS MCP Server?
- Enabling AI assistants to interact with AWS services via CLI commands.
- Providing documentation and command execution capabilities for AWS CLI.
- Integrating with applications like Claude Desktop for enhanced AWS management.
FAQ from AWS MCP Server?
- Can I run AWS MCP Server without Docker?
Yes, you can run it using Python, but Docker is recommended for easier setup.
- What are the requirements for using AWS MCP Server?
You need Docker or Python 3.13+, AWS CLI installed, and AWS credentials configured.
- How does AWS MCP Server handle security?
It uses AWS credentials from the host machine, validates commands before execution, and has timeout limits for commands.
Server Config
{
"mcpServers": {
"aws-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"/Users/YOUR_USER_NAME/.aws:/home/appuser/.aws:ro",
"ghcr.io/alexei-led/aws-mcp-server:latest"
]
}
}
}