AWS Storage MCP Server
@aquavis12
A Model Context Protocol (MCP) server that enables natural language interactions with AWS storage services through Amazon Q CLI.
Overview
What is AWS Storage MCP Server?
AWS Storage MCP Server is a Model Context Protocol (MCP) server that enables natural language interactions with AWS storage services through Amazon Q CLI. It allows users to query, perform operations on, and manage multiple AWS storage services using plain English rather than complex CLI commands.
How to use AWS Storage MCP Server?
Install Docker and Docker Compose, configure AWS CLI with valid credentials, and ensure Amazon Q CLI is installed. Run the server using Docker Compose, then connect Amazon Q to the server to start interacting with AWS storage services in natural language. Refer to the separate Installation and Usage guides for full instructions.
Key features of AWS Storage MCP Server
- Natural language interface for AWS storage services
- Supports Amazon S3, EBS, EFS, FSx, Storage Gateway, Glacier, Snow Family, AWS Backup, and more
- Performs operations without remembering complex commands
- Local execution using your own AWS credentials
- Docker-based deployment for easy setup
Use cases of AWS Storage MCP Server
- List and browse S3 buckets through conversational queries
- Manage EBS volumes and snapshots without CLI commands
- Check EFS file system status and configurations
- Perform backup operations via natural language requests
- Monitor Glacier archives and Snow Family devices interactively
FAQ from AWS Storage MCP Server
What does this MCP server do that alternatives don't?
It connects Amazon Q to a wide range of AWS storage services (S3, EBS, EFS, FSx, Storage Gateway, Glacier, Snow Family, AWS Backup) using a local Docker container, allowing natural language management of storage resources.
What dependencies and runtime requirements are needed?
Docker and Docker Compose, AWS CLI configured with valid credentials, and Amazon Q CLI installed. The server runs locally in a Docker container.
Where does my data and credentials live?
All operations execute on your local machine using the AWS credentials you provide. No data is sent to third parties beyond the AWS API calls made with your permissions.
What are the known limitations?
This is a community project not officially supported by AWS. It is provided “as is” without warranty. Users are responsible for reviewing operations before execution, monitoring AWS costs, and following security best practices for credentials.
How does authentication and transport work?
The server runs as a Docker container and listens on http://localhost:8080/invoke. Authentication is handled by your existing AWS CLI credentials, which are mapped into the container via Docker volume.